Trustworthy AI : De-risk business adoption of AI

PODCAST · business

Trustworthy AI : De-risk business adoption of AI

Description:  Creating AI Trust is a very complex and hard problem. It is not clear what it is and how it can be operationalized.  We will demystify what is Trustworthy AI, efficient adoption and leveraging it for reducing risks in AI programs.McKinsey reports indicates companies seeing the biggest bottom-line returns from AI—those that attribute at least 20 percent of EBIT or profitability to their use of AI—are more likely than others to follow Trustworthy AI best practices, including explainability. Further, organizations that establish digital trust among consumers through responsible practices such as making AI explainable are more likely to see their annual revenue and profitability grow at rates of 10 percent or more.

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    When AI Runs Your Supply Chain: Governance at the Speed of Commerce

    What happens when AI makes thousands of real-time decisions about inventory, fulfillment, and pricing across a $300M+ operation — and one of them goes wrong?In this episode of Trustworthy AI, host Pamela Gupta sits down with Nirmal Jingar, Sr. Technology Leader, AI Platforms & Modernization at Wayfair, to explore what AI governance actually looks like when it has to work in production — not just read well in a policy document.Nirmal isn't advising on AI governance from the outside — he's building and shipping AI systems inside a major e-commerce operation with direct P&L accountability. When governance fails in his world, the result isn't a compliance gap. It's excess inventory, missed deliveries, or lost revenue.In this conversation, you'll learn:→  The governance decisions that directly protected business outcomes — not compliance checkboxes→  Why the biggest AI risk isn't a bad model — it's a missing feedback loop→  How to assign clear ownership when models retrain, drift, or make autonomous decisions at 2 AM→  What deterministic, governance-first AI design looks like in a world racing toward agentic AI→  How to build feedback loops that catch gradual model degradation — not just catastrophic failure→  What boards and C-suite leaders are dangerously underestimating about AI operational risk→  What agentic AI in supply chain means for governance — and whether enterprise is readyAbout Nirmal Jingar:Sr. Technology Leader, AI Platforms & Modernization at Wayfair. Forbes Technology Council Member. IEEE Senior Member. Mass Technology Leadership Council Chief AI Officer Group. University Board Member & Advisor.About Your Host:Pamela Gupta is the Founder of Trusted AI and creator of the AI TIPS governance framework — deployed across Fortune 500 companies in 120+ countries. Thinkers360 Top 50 Women Thought Leader on AI 2026. ISACA Wasserman Award 2025. CISSP | CISM | CSSLP.Connect & Resources:🌐  trustedai.ai/podcast📬  Subscribe to the newsletter: trustedai.ai/briefing📊  Free AI TIPS Maturity Assessment: trustedai.ai/assessment#TrustworthyAI #AIGovernance #ResponsibleAI #EnterpriseAI #AITIPS #SupplyChainAI #AIRisk #CAIO #CIOCan Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  2. 47

    AI Governance Isn't Optional Anymore —What ISO 42001 Auditors Look For

    Trustworthy AI: De-risk Adoption of Business AI — with Pamela GuptaMost organizations have AI policies. Few have AI governance that holds up under audit. There's a difference — and that difference is where legal exposure, regulatory risk, and operational failure live.In this episode, I sit down with Dallas Bishoff, the newly appointed U.S. Vice-Chair of ISO Steering Committee 27 (Information Security, Cybersecurity & Privacy) and one of the first ISO 42001 Lead Auditors in the world. Dallas is both writing the rules and auditing against them — a rare perspective that every AI governance leader needs to hear.We go deep on:— The business case for ISO 42001 beyond compliance — what CEOs and boards actually need to understand — What auditors look for on day one of an AI governance audit — and what tells them within the first hour whether governance is real or theater — Red flags that expose paper governance programs with no operational teeth — How ISO 42001 handles third-party and vendor AI risk — where most enterprise AI exposure actually lives — The convergence of ITIL v5 (released January 2026) and ISO 42001 — why keeping IT service management and AI governance in silos is a costly mistake — Whether ISO 42001 is equipped for agentic AI — systems that act autonomously without human oversight — The medical device wake-up call: layering AI governance on top of existing quality management standards after AI-enabled surgical devices were linked to serious patient harm — Global regulatory pressure from the EU AI Act and what multinational organizations should prioritize nowI also discuss how my AI TIPS™ framework complements ISO 42001 to create a complete governance stack. If you're a board director, CISO, privacy officer, or compliance leader evaluating AI governance readiness — this is the conversation you need to hear.Guest: Dallas Bishoff — U.S. Vice-Chair, ISO SC27 | ISO 42001 Lead Auditor | Author, ISO 42001 Pro Tips NewsletterHost: Pamela Gupta — Creator, AI TIPS™ Framework | Founder, Trusted AI | CISSP, CISM, CSSLP | 2025 Joseph J. Wasserman Award, ISACASubscribe and follow Pamela Gupta on LinkedIn for weekly AI governance intelligence.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  3. 46

    AI Governance 2026: What Leaders Need to Know Now

    Navigating Old & New AI  Regulations, Liability Risks, and the Strategic Pivot for Q1.Welcome to Trustworthy AI: De-risk Adoption of Business AI. I'm Pamela Gupta, Founder of Trusted AI.This month I'm doing something a little different — a solo episode to kick off 2026. No guest today, just me and you, because a lot has happened in the last 60 days that I want to unpack.If you're a C-suite executive, a board member, a CISO, or anyone responsible for AI in your organization, this episode is your briefing. I'm going to cover:The new US Executive Order on AI and what it signalsWhy AI litigation just got real — and what it means for your vendorsEU AI Act enforcement kicking inAnd three things you should do this quarterLet's get into it.There are slides accompanying the podcast, see https://youtu.be/X_0Yba6HszgCan Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  4. 45

    Trustworthy Agentic AI Rests on Strong Data Governance

    When AI moves from tool to agent, content bloat transforms from inefficient to dangerous.Today, I'm joined by our sponsor, RecordPoint, a leader in AI governance and data lifecycle management. They've been helping highly regulated organizations—from government agencies to financial services—build what they call "ART": Accurate, Relevant, and Trusted data foundations for AI systems.I am speaking with Joe Pearce who is the Head of Product at RecordPoint, Joe Pearce leads the innovation, strategy, and roadmap for Data and AI Governance Platforms. We're going to explore why agentic AI demands a fundamentally different approach to data governance, what happens when organizations get it wrong, and how forward-thinking leaders are transforming their content management from passive archives into active AI strategy engines.Because here's the reality: your AI agents are only as trustworthy as the data you're giving them access to. And if that data is cluttered with ROT, you haven't solved the hallucination problem—you've just moved it from the public web to your private chaos.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

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    AI Governance for AI Value

    75% of companies are now using generative AI. But only a third have responsible controls in place. That's not just a statistic—it's a ticking time bomb.Today, I'm speaking with Dr. Paul Dongha, Head of Responsible AI at NatWest Group and co-author of the newly released 'Governing the Machine.' He's spent three decades bridging AI innovation with ethical implementation in one of the world's most regulated industries. If you want to know how to make AI governance an accelerator rather than a blocker, this is the conversation you need to hear.If you're navigating the EU AI Act, building assurance platforms, or trying to earn customer trust while scaling AI, this conversation provides the roadmap. We compare notes on my AI TIPS model for operationalizing AI Governance and the Framework Ray Eitel-Porter (Author), Paul Dongha (Author), Miriam Vogel (Author) present in Governing the machine.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  6. 43

    AI Cyber Threats at Warp Speed: Decoding the Attack Flow with MITRE ATLAS

    AI Cyber Threats at Warp Speed: Decoding the Attack Flow with MITRE ATLASIs your organization ready for the AI Cybersecurity threat wave? What is the role of AI Cybersecurity in a holistic AI Governance program?What are the Industry partnerships from MITRE that every organization should be aware of and why?The landscape of AI risk is evolving at an accelerated rate, demanding a security framework built specifically for the unique attack surfaces of Machine Learning and Generative AI. Join host Pamela Gupta as she welcomes Walker Dimon, the MITRE ATLAS Lead, who is focused on advancing security for these rapidly evolving AI systems.This conversation reveals the critical flow and severity of modern AI threats:• Mapping the Adversary's Path: The MITRE ATLAS Matrix organizes the progression of attack tactics providing practitioners with a common language and taxonomy for AI threats. • New, Realized Threats: The focus has shifted from predictive AI attacks (like data poisoning) to complex generative AI exploits. Walker explains that ATLAS techniques are only added if they are "realized"—meaning there is real-world evidence of actual adversaries using these TTPs against victim systems.• The LLM Evolution: Learn about the need for new attacks taxonomies, including the recent addition of triggered injection, to capture the delayed adversarial behavior unique to complex Agentic AI systems.• Walker explains how CISOs can immediately use ATLAS for threat modeling by mapping data flows and user access points to the matrix.• It is a resource for mitigation strategies, offering strategies and exemplars like using open repository guardrail packages (e.g., Nemo guardrails) to define boundary conditions and prevent system compromise.Tune in to understand the dynamic nature of AI risks and get actionable guidance on leveraging the MITRE ATLAS Matrix to build trustworthy, safe, and secure AI systems. We discuss Red Teaming, Prompt Injection attacks and a new category introduced "triggered injection".  I had done a deep dive in my last episode on Agentic AI attacks, that was an example of this new attack.Also, Pamela  poses “Lightening Question - one AI security myth to retire, the most under-hyped attack vector ?”Walker’s response  may surprise you.Last, Thanks to our sponsor RecordPoint, you can get more information about their unified data and governance platform.   Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

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    Business Impact of Weaponized AI Agents

    I'm Pamela Gupta—2025 Joseph J. Wasserman Award Honoree, the highest honor in information security and risk governance. I'm globally ranked number three in Risk Management and number seven in Cybersecurity by Thinkers360.But here's what I'm most proud of: I help organizations turn AI from a risk into revenue. In my work across 120 countries and with Fortune 500 companies, I've operationalized AI governance frameworks that don't just check compliance boxes—they enable business teams to launch AI initiatives in 60 days instead of staying stuck for months.I created the AI TIPS framework—Trust, Integrity, Pillars, and Sustainability—four years before NIST published their AI Risk Management Framework. I've advised the U.S. Department of Defense on AI strategy. I've built AI Centers of Excellence for critical infrastructure companies. And I've designed governance systems on platforms like IBM watsonx that automate policy enforcement while enabling innovation at scale.My mission is simple: De-risk AI adoption so organizations can confidently embrace the most transformative technology of our generation. Because when AI governance is done right, it's not a barrier—it's an accelerator."Good [morning/afternoon] everyone. Today we're going to talk about one of the most significant AI security vulnerabilities discovered in 2024—and why it matters to every organization deploying AI agents.This is ForcedLeak. CVSS 9.4. Critical severity. It affected Salesforce Agentforce, a platform used by thousands of enterprise customers.This episode is for any and every organization to hear and act on as AI gets integrated into every product globally.Qs or Comments? Contact me at https://www.linkedin.com/in/buildingtrustedaiholistically/Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  8. 41

    Enterprise Agentic AI Governance & Security

    “A lack of AI governance will be a showstopper for unlocking the value of agentic systems.” Join us for a session on Enterprise Agentic AI Governance & Security with Jim Reavis, CEO Cloud Security Alliance Cloud Security Alliance, Hosted by Pamela Gupta for a special Trustworthy AI Podcast to set the stage for upcoming Cybersecurity Awareness Month in October.#Agentic #AI Represents an advancement in autonomous systems, increasingly enabled by Large Language Models (LLMs) and generative AI. While agentic AI predates modern LLMs, their integration has "significantly expanded their scale, capabilities, and associated risks."We will discuss:Segment 1: The Why — Understanding the Urgency for AI Governance for Agentic AI.Segment 2: The How — Building AI-Native Assurance Pamela's AI TIPS framework for AI Governance and Cloud Security Alliance's AI Control management System.Conclusion: The Future — Governance, Innovation, and Collaboration for a safer future.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  9. 40

    Operationalizing Responsible AI in Healthcare

    Today in Trustworthy AI: De-risk adoption of AI I am honored to be speaking with a industry thought leader Nicoleta J. Economou-Zavlanos, PhD, is the Director of the Duke Health - AI Evaluation & Governance Program and the founding director of the Algorithm-Based Clinical Decision Support (ABCDS) Oversight initiative. She leads Duke Health’s efforts to drive the responsible integration of AI in healthcare by establishing robust evaluation frameworks and oversight practices. AI in healthcare can transform lives—or land organizations in lawsuits if governance isn’t built in from the start.That’s why I’m so excited to sit down with Dr. Nicoleta Economou of Duke Health. Together, we’ll discuss how her team is making Responsible AI real through:A living governance model (ABCDS Oversight)Multi-institutional collaboration (CHAI + TRAIN)Forward-looking alignment with policies and federal rulesIf you want to see how a health system is leading nationally in AI governance—and what lessons you can apply—this is a session you won’t want to miss.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

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    Creating Safe Secure trustworthy AI Agents

    Welcome to "Trustworthy AI:  De-risk business adoption of AI," hosted by Pamela Gupta.In this episode I speak with bestselling author Ken Huang on Creating Safe Secure trustworthy AI Agents: Vulnerability Management. Ken is the author of  Agentic AI: Theories and Practices by Ken Huang. The book delves into the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development. It presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovationI am Pamela Gupta, an award winning AI Governance & Cybersecurity leader, also founder of Trusted AI a Trustworthy Ai Advisory firm.I host  these podcasts to bring guidance and strategies on identifying risks that can be addressed or mitigated by adopting a holistic risk based Trustworthy AI approach. Agentic AI refers to an advanced AI system that autonomously takes actions, adapts in real-time  & solves multi-step problems based on context and objectives. Agentic AI  is redefining work force requirements and reinventing how we do business. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

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    Houston we have a problem

    My "Houston we have a problem" Call to Action to De-Risk AI with appropriate Risk Management and Governance keynote. Recently I was awarded the JD Wasserman award, ISACA’s highest honor which puts me in the company of an elite group of leaders in the field of Risk, Governance and Cybersecurity. I was recognized for being a pioneer in the field of AI Governance, for publishing a AI Risk Management Framework on Trustworthy AI. We are living in an Algorithmically mediated world and unless we address the unique risks posed by AI we cannot achieve the immense value. I invite you to listen and comment on this piece - to the compelling value proposition of AI, including the fact some of us are alive through the COVID-19 pandemic, millions of dollars savings, creation of Billion dollar companies in areas not seen before - for it to be fair for all and achievable we need to address the unique risks AI brings that can hit below the belt from bias in hiring to IRS audits to Eligibility for life saving healthcare. I end with Houston we have a problem but also a Solution such as the framework I created six years ago for operationalizing AI Governance AI TIPS with 8 Pillars of Trustworthy AI: Safety-Security, Privacy, Transparency, Explainability, Audit, Regulations, Ethics and Accountability and also others such as NIST AI RMF and ISO 42001.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

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    Leading with Integrity in AI: A Milestone Moment in My Journey for Trustworthy AI

    How I went from Cybersecurity to Trustworthy AI in 2019What this honor means to me — and the call to action it represents for the AI communityby Pamela Gupta, 2025 Joseph J. Wasserman Award Honoree I'm excited to share a personal and professional milestone with you — I’ve been named the 2025 recipient of the Joseph J. Wasserman Award by the ISACA New York Metropolitan Chapter.This award is ISACA 's highest honor, recognizing lifetime achievement and contributions to governance, cybersecurity, risk, and digital trust. To be recognized in this way, especially among so many distinguished peers, is truly humbling — and deeply meaningful. I feel privileged to be joining the e𝐬𝐭𝐞𝐞𝐦𝐞𝐝 𝐟𝐫𝐚𝐭𝐞𝐫𝐧𝐢𝐭𝐲 of past Wasserman Award winners whose legacies continue to shape our field, including: Chris Dimitriadis – Champion of secure digital transformation and visionary leader in audit automation. Gene Spafford – Pioneer of digital forensics and cybersecurity education. Phil Venables – Google Cloud CISO driving unified security and risk strategy at scale. Medha Bhalodkar – Columbia University’s first CISO, trailblazer in enterprise cybersecurity programs. Brian Barnier – Architect of next-generation security frameworks. Theresa "Terry" Grafenstine – Advocate for women in tech and AI ethics leader. Marios Damianides, Peter D. Wild FCA, CAMS Audit, Emil D'Angelo, Steve Ross, Michael P. Cangemi, Alexander Abramov Jim Ambrosini. A huge thanks to Tim MortiCan Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

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    AI Change Management

    In today’s "Trustworthy AI: De-Risking AI Adoption" episode, Pamela Gupta, the host and Amii Barnard Bahn  explore a critical — yet often overlooked — factor for  successful AI adoption: change management. As organizations race to implement AI solutions, many stumble not because of the technology itself, but due to resistance from people, unclear roles, and a lack of readiness to shift the way work is done. Drawing insights from leading practices, we’ll discuss how building trust, creating shared understanding, and preparing your workforce can be the difference between AI hype and AI impact. Let’s talk about why change management isn’t just an add-on — it’s the engine that drives sustainable AI transformation .Amii Barnard Bahn is a contributor at Harvard Business Review. Amii has shaped company culture and strategy at global companies such as McKesson and Allianz in multiple roles (CAO, Chief Compliance Officer, and Chief Human Resources Officer). Her expertise reinforced a powerful truth: AI transformation is not just a technological journey — it’s a leadership challenge.To the executives listening — your role is pivotal. The success of AI in your organization hinges not just on tools and algorithms, but on your ability to communicate a vision, empower people, and sustain trust through change. Change management isn’t a soft skill — it’s a strategic capability. And now more than ever, it’s your competitive edge. If you found today’s episode valuable, share it with your leadership team. And don’t forget to subscribe for more conversations with the experts shaping responsible and resilient AI futures. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  14. 35

    Trustworthy AI: De-Risk 3rd Party AI Risks

    Global AI Governance and Risk Strategist Pamela Gupta speaks with Prove AI's CTO Greg Whalen. This podcast is fireside chat format and we discuss our common objectives of focusing on outcomes but with different perspectives:Greg speaks from a product and platform perspective and Pamela from a process and a Center of Excellence perspective.We discuss the business approach to De-Risk GenAI and traditional AI, Agentic AI.This is a not to be missed conversation that covers critical and high impact AI Risk mitigation and value creation.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  15. 34

    Safe Secure Trusted AI Agents - Building and Deploying

    Rise of AI agents represents an unprecedented opportunity to redefine productivity, creativity, and the very nature of collaboration. However, their successful integration into the workplace demands more than technical prowess; it requires a commitment to ethical practices, transparency, and human-centric design. By championing these principles, businesses can unlock the transformative power of AI agents while fostering trust and sustainability in their operations.Join me, Pamela Gupta, Trustworthy AI Leader in this episode of AI Governance and Risk overview of Agentic AI.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  16. 33

    Deepseek - Innovation and why that matters

    In this episode of Trustworthy AI: De-Risk Adoption of AI, I hve taken the liberty of generating a analysis of the Deepseek V3 model that set the precedent for the newly released Deepseek-R1 model.There are a lot of innovative points that are groundbreaking and important to understand such as Mixture of Experts (MOE), FP8, Expert Specialization and many more techniques that are genius.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  17. 32

    Agentic AI : Executive Playbook

    This executive playbook from PwC advocates for the adoption of agentic AI, a type of generative AI employing multiple AI agents to automate complex tasks and improve decision-making. It highlights agentic AI's evolution, benefits across various sectors (manufacturing, healthcare, finance, etc.), and potential for significant economic impact. The playbook provides a strategic roadmap for integrating agentic AI, emphasizing the importance of a customer-centric approach, ethical considerations, and a phased implementation strategy (starting with pilot projects). Finally, it differentiates between commercial and open-source agentic AI tools and offers best practices for maximizing return on investment.Critical for success? Cybersecurity, Data Governance and AI Governance.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  18. 31

    Preparing Business for Generative AI Success

    In this must-listen episode of Trustworthy AI : De-risk adoption of AI, join Dr. David Bray and myself, Pamela Gupta, as we dive deep into the critical role AI plays in shaping business strategies from the boardroom to every aspect of organizational operations.Dr. David Bray is an acclaimed technology leader with extensive experience guiding organizations through complex, high-risk situations. He is an award-winning, recognized expert on issues such as leadership during turbulent times, digital transformation, resilience, countering disinformation, and responsible adoption of emerging technologies like AI. David A. Bray is Chair of the Accelerator at the Loomis Council and a Distinguished Fellow with the Stimson Center.Pamela Gupta is a AI Governance, Risk Management and Cybersecurity advisor and consultant for companies.Key Topics We Discuss:AI as a Top Priority for CEOs: Understanding why AI is not just about technology but about transforming workplace skills and policies for the AI era.Building Trust in AI: How businesses can foster trust in data, AI, and automation to drive personalization and rapid growth.Addressing Challenges with GenAI: We tackle the pressing concerns related to data security, ethics, and bias in AI applications.Beyond Technology: Exploring the comprehensive road to AI implementation that ensures security, scalability, and value for all stakeholders.Preparation for Leaders: What CEOs and board members need to consider for successful AI adoption across people, processes, and technology.🌐 Listen to Gain Insights On: The potential risks of AI adoption and the strategic measures leaders must undertake to harness AI's full potential responsibly and effectively.📈 For Business Leaders and Innovators: This episode is tailored for those looking to integrate AI into their strategic planning and operational frameworks effectively. Whether you're a CEO, board member, or an emerging leader, the insights shared will equip you with the knowledge to lead in the AI-driven market confidently.Tune in now and join the conversation on how we can navigate the evolving AI landscape together for sustainable business growth and innovation. #LeadershipInAI #AIInnovation #BusinessStrategy #ThoughtleadershipPodcast #TrustedAISubscribe on the platform of your choice - https://www.trustedai.ai/podcast/Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  19. 30

    AI Trust Management

    In this episode of Trustworthy AI : De-risk business adoption of AI, your host Pamela Gupta and Dr. Anand Rao discuss a key factor for a Organization to succeed with AI initiatives  - creating a AI Trust Management Culture. Dr. Rao’s current research interests include operationalizing AI, responsible AI, systems thinking, ROI of AI, theory and practice of building agent-based models and digital twins, behavioral economics, and human decision-making.Anand Rao has focused on research, innovation, applications, business and societal adoption of data, analytics, and artificial intelligence over his 35-year consulting, industry, and academic career. Anand was the Global Artificial Intelligence Leader for PwC, a Partner in their Data, Analytics, and AI practice, and the Innovation lead for AI in PwC’s Products and Technology segment.  Anand led a team of practitioners who advised C-level executives, develop, and implement advanced analytics and AI-based solutions across several industry sectors including financial services, insurance, healthcare, technology-media-telecommunications, retail, aerospace, and defense sectors .This episode is brought to you by Trusted AI, helping clients become AI achievers through a AI Center of Excellence and de-risking AI.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  20. 29

    Securing GenAI: Secure our Future

    This episode of Trustworthy AI : De-risk business adoption of AI is  brought to you by Trusted AI. Securing Generative AI, LLMs is a critical topic for adopting AI.Host Pamela Gupta, CEO Trusted AI talks with Steve Wilson leader of the LLM Governance & Cybersecurity OWASP , Product officer at Exabeam, author Developers Playbook for LLM security, O’ReillyWhy is Securing GenAI critical?Organizations are increasingly prioritizing value creation and demanding tangible results from their Generative AI initiatives. This requires them to scale up their Generative AI deployments— advancing beyond experimentation, pilots and proofs of concept.Adversaries are increasingly harnessing LLM and Generative AI tools to refine and expedite traditional methods of attacking organizations, individuals, and government systems.Organizations also face the threat of NOT utilizing the capabilities of LLMs such as a competitive disadvantage, market perception by customers and partners of being outdated, inability to scale personalized communications, innovation stagnation, operational inefficiencies, the higher risk of human error in processes, and inefficient allocation of human resources. Understanding the different kinds of threats and integrating them with the business strategy will help weigh both the pros and cons of using Large Language Models (LLMs) against not using them, making sure they accelerate rather than hinder the business’s meeting business objectives.The OWASP Top10 for LLM Applications Cybersecurity and Governance Checklist is for leaders across executive, tech, cybersecurity, privacy, compliance, and legal areas, DevSecOps, MLSecOps, and Cybersecurity teams and defenders. It is intended for people who are striving to stay ahead in the fast-moving AI world, aiming not just to leverage AI for corporate success but also to protect against the risks of hasty or insecure AI implementations. These leaders and teams must create tactics to grab opportunities, combat challenges, and mitigate risks. Steve Wilsons new book -  https://www.oreilly.com/library/view/the-developers-playbook/9781098162191/Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  21. 28

    Trustworthy AI imperative for Investors

    In this episode brought to you by Trusted AI, hear about Investment Risks regarding AI and Cybersecurity, Financial fraud challenges from AI Deepfakes and more. Pamela Gupta talks to Jenny Lo who works at Sixty Degree Capital, supporting investment in AI and digital infrastructure and transformative software innovation. The broader business community is already struggling with risks such as data breaches, privacy loss, job loss, ethical challenges, misinformation and disinformation.To protect their portfolios’ stability both now and in the future, investors should tackle both theseimmediate issues as well as the deeper implications of AI. This starts with establishing strong governanceframeworks and clear principles and practices to integrate Responsible, Trustworthy AI standards into all applications.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  22. 27

    Healthcare Trustworthy AI: De-risk adoption of AI

    Creating Trustworthy AI in Healthcare is critical. It can impact life and death and quality of life.  We need Strategy, Plans and Action to Address the Privacy, Impact of Algorithm Bias  in Health and Healthcare, and other aspects of Trustworthy AI such as Explainability.In this podcast I speak with Tamra Moore who is one of a handful lawyers in the US associated with legal issues on the use of AI/ML in healthcare, she also has a degree in Biomedical Ethics.I am Pamela Gupta, CEO Trusted AI and host for the thought leadership series Trustworthy AI : De-risk business adoption of AI. Through these talks I am bridging  Strategy and Actionable guidance from global Industry leaders to create practical guidance in reducing risk for managing the complex and high risk area of AI.. I believe we can achieve Trustworthy AI, but in order to do that is essential to be built in at the very DNA of an AI system or adoption, hence the Trusted AI logo – with a DNA strand for I in AI.Tamra is an attorney with over 15 years of federal government and private sector litigation and regulatory experience.She’s currently in-house counsel at a global financial services company, where she advises the Chief Data Officer and others on legal and regulatory compliance issues. These issues are related to the development and use of AI and ML models in consumer-facing products and internal operations. Last year, at the invitation of the NIH and Agency for Healthcare Quality and Research, she participated on a consensus panel looking at racial bias in healthcare algorithms.We discuss :1.     How can we “Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Healthcare.”2.     What is the US regulatory landscape with respect to the use of AI in healthcare? 3.     What is the HHS rule on Algorithmic transparency. What is it, who is impacted and what does one have to do to be compliant.Tamra talks about the Office of the National Coordinator for Health Information Technology (ONC) Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1) rule.4.     What are some of the challenges of implementing a governance framework for healthcare algorithms used in a hospital setting?  Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  23. 26

    Role of Privacy, Trusted AI in Biotechnology

    In this episode of Trustworthy AI : help De-Risk adoption of AI, Trusted AI CEO Pamela Gupta talks with Kimberly Gold. Chief Privacy Officer, Executive Director at Genentech  IAPP Advisory Board Member | Speaker | Privacy & AI Governance Professional | Healthcare Technology LeaderGenentech pioneered the biotechnology industry and revolutionized treatment for some of the most complex health problems.Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Their transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We discuss the additional challenge posed by the fluid and inconsistent current  privacy laws in each US State,Privacy program management challenges in industry, Safe adoption of Generative AI and essential data protection practices. We also discuss EU AI Act impact on US Companies. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  24. 25

    Implementing Trustworthy AI at one the largest telecommunications companies in the world

    In this episode of Trustworthy AI: De-risk business adoption of AI – I discuss real world implementation of Responsible AI Principles at one the largest telecommunications service providers in the world – Telefónica. Dr Richard Benjamins is the former Chief Responsible AI Officer at Telefonica and founder of its “AI for Society and Environment” area, where he played a pivotal role in shaping Telefónica's approach to the ethical use of artificial intelligence. He is among the 100 most influential people in data-driven business (DataIQ 100, 2018)Dr. Benjamins is co-founder and CEO of the Spanish observatory for ethical and social impacts of AI (OdiseIA). This is a must hear conversation for those looking to create a competitive edge using AI. Integration of Trustworthy AI at the foundation of AI Initiatives is not only important, it can be the most critical element in shaping intended outcomes and the trajectory of success.We discuss:Challenges in big companies in adopting Responsible AI/Trustworthy AIVision and Leadership buy in necessary for adoptionAI Champions and more… Trusted AI is providing the help for Organizations at different levels of maturity in AI Risk Management and Governance achieve AI Center of Excellence and maturity, visit Trusted AI as a Service to book https://www.trustedai.ai/ai-trust-as-a-service/Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  25. 24

    De-risk adoption of AI - Facial Recognition

    Trustworthy AI : De-risk adoption of AI - Facial Recognition I am Pamela Gupta, CEO Trusted AI and host for series  Trustworthy AI : De-risk business adoption of AI. I believe we can achieve Trustworthy AI, but in order to do that is essential to be built in at the very dna of an AI system or adoption, hence the Trusted AI logo – with a DNA strand for I in AI.Facial Recognition is a controversial technology , can we use to for intended outcomes, use it intentionally and with guard rails? In this episode I discuss the Risks and mitigation with Daniel Eboral – one of the leaders in deployment of Ethical AI. The privacy and ethical risks associated with facial recognition technology (FRS) are significant and multifaceted. These concerns are not only related to the technology's accuracy and the potential for misuse but also involve deeper issues around consent, bias, and broader society.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  26. 23

    Responsible/Trustworthy AI in Manufacturing

    Excited to bring real work application of #responsibleai #trustedai in Manufacturing. It was a pleasure talking to a truly strategic leader Namrita Mahindro on the issues, solutions of Responsible/Trustworthy AI in Manufacturing.In this episode of "Trustworthy AI: De-risk business adoption of AI" Your host Pamela Gupta talks with Namrita Mahindro Chief Digital  and information officer CDIO Aditya Birla Chemicals. Namrita has led award winning, end to end transformations (omni-channel customer experience, manufacturing and supply chain) for Aditya Birla Chemicals, Mahindra Auto & Club Mahindra, Taj Hotels. She has Conceptualized, designed and implemented future driven strategies interwoven with exponential technologies building a culture of customer centricity and operational excellence whilst delivering business impact through revenue growth & profit maximization in complex, distributed, scale environments.She has a passion and Keen interest in Responsible AI to building and creating ethical, AI sustainable solutions Teaching at University of Oxford on Responsible AI, Follow Namrita’s podcast on AI, Talks with NamritaWe discuss:Value of AI for manufacturing as it shifted to human centric and optimization;Humans and cobots centers business challenges and solutionsWhat is Responsible Trustworthy AI in ManufacturingDoes it add value or challenges for manufacturing?Solutions for Human Machine Interface risksHer Risk Model for Human, Machine and compliance..There are a lot of pragmatic and real world adoption issues and insights. If you have comments or questions please contact me at https://lnkd.in/ejuUmbJ6Watch at: https://lnkd.in/exfQwCtySubscribe to podcast by selecting your platform at: https://lnkd.in/efiv5wi4#ai #aichallenges #thoughtleadership #CDO #CIO Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  27. 22

    Building Trustworthy Generative AI and LLMS

    In this episode of "Trustworthy AI: De-risk business adoption of AI"  your host Pamela Gupta is talking with a authority  on Trustworthy Generative AI and LLMS,  Krishnaram Kenthapadi. Chief AI Officer & Chief Scientist of Fiddler AI, Krishnaram is leading initiatives on generative AI, on AI safety, and trustworthiness, as well as the technical strategy, customer-driven innovation, and thought leadership for Fiddler. He received his Ph.D. in Computer Science from Stanford University, went on to research at Microsoft, represented LinkedIn at Microsoft's AI Ethics Advisory Board, was the Principal Scientist at Amazon, where he led the responsible AI initiatives in AWS ML, and shaped new initiatives such as Amazon SageMaker Clarify from inception to launch.Join us for a in depth discussion on: 1.    What is trustworthiness of LLMS2.    Trustworthy AI Challenges for LLMs; Are they different from predictive AI?3.    How does it impact businesses – is it different between organizations creating than those implementing?4.    What are some ways of deplying Trustworthy LLMS? Is testing LLM pre deployments  sufficient and effective for production performance?5.    What can companies do to prepare for Responsible AI by design;6.    Incentives for different stakeholders.7.    Prepare for current and upcoming future by drawing parallels with synthetic biology?Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  28. 21

    EU AI ACT Standard for Trustworthy AI

    In this episode of Trustworthy AI : help De-Risk adoption of AI,Trusted AI CEO Pamela Gupta talks with Piercosma Bisconti who is the Project Leader of the EU standard “AI Trustworthiness Framework”.Piercosma is leading this inside the CEN-CENELEC, the EU standardization committee.  We discuss the the 𝐀𝐈 𝐓𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐢𝐧𝐞𝐬𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 project,  a step forward for building the overarching framework of the EU's AI standardization ecosystem.I asked "This standard will help create a NorthStar for preparation for compliance with the EU AI Act, so all eyes on you Piercosma", he smiled as he responded "No Pressure".To relieve that pressure on creators and impacted I am happy to announce to keep you posted on next steps, developments and our new "Trusted AI as a Service" product launch! See more details on https://www.trustedai.ai/ai-trust-as-a-service/Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  29. 20

    Creating a safer digital space for all

    In this episode of "Trustworthy AI: De-risk business adoption of AI" Creating a safer digital space, Your host Pamela Gupta is talking to Yonah Welker. Yonah Welker is an AI expert, technology explorer and public voice for algorithmic diversity working on European Commission-funded research, technology, and innovation projects.  He is a Serial Technologist, Public Evaluator, Commission's Board, Voice For Algorithms, Spectrums, Policies, Acts  @EU_Commission @MIT @WEF  @EU-MENA-US We discuss the impact of EU AI Act on a variety of successful technology projects addressing accessibility of public spaces, cognitive and sensory impairments, medical and educational technologies, such as social robotics for children with autism, eyes-tracking systems supportingreading impairments and dyslexia, smart tablets for individuals withvisual impairments, variety of rehabilitation and medical technologies. The final provision of the AI Act expands the categories of high and unacceptable risk systems, introduces stricter compliance on emotion recognition, publicly accessible workplaces and educational spaces, dedicated rules addressing general-purpose AI, “specific transparency risks”, and the list of special cases, exceptions and comments, including biometrics systems and law-enforcement.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  30. 19

    Responsible AI in Legal Profession

    In this episode of Trustworthy AI: De-Risk adoption of AI on  Responsible AI uses in Legal profession, I talk with Dr Megan Ma, MIT Law Responsible Task Force member that was formed to address growing concerns around the responsible and ethical use of AI in the legal profession following the infamous incident of a New York attorney submitting a fake, ChatGPT-generated brief in federal court and subsequently being fined $5,000.Dr Ma is a Fellow and the Assistant Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX). Her research focuses on the translation of legal knowledge to code, considering its implications in contexts of human-machine interaction. She also teaches courses in computational law and insurance tech at the Law School.She has taught courses in Artificial Intelligence and Legal Reasoning, Legal Semantics, and Public Health Law and Policy. She has previously been a Visiting PhD at the University of Cambridge and Harvard Law School respectively. We discuss using Responsible/Trustworthy AI principles and parallels between business and legal realms when it comes to promote better business outcomes, including accelerated innovation with AI’.? Megan and I go in depth on the challenges she is seeing and solving in her role and main focus.MIT Task force Responsible AI recommendations and adoption by the California American Bar Association’s of the taskforce recommendations on Responsible AI. The Task Force’s 7 principles for lawyer’s duties when using AI for legal work namelyDuty of Confidentiality Duty of Fiduciary Care Duty of Client Notice and ConsentDuty of Competence in the usage and understanding of AI applications.Duty of Fiduciary Loyalty Duty of Regulatory Compliance and respect for the rights of third parties, applicable to the usage of AI applications in your jurisdiction(s);Duty of Accountability and Supervision to maintain human oversight over all usage and outputs of AI applications. Optimizing technology to alleviate legal problemsFuture of legal education and more...Using Generative AI responsibly..Youtube link: https://youtu.be/aIS1o00ZwjQCan Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  31. 18

    Effective AI Governance

    In this episode of  "Trustworthy AI: De-risk  adoption of AI"  I talk with Steven Tiell.He is a nonresident senior fellow with the Atlantic Council’s Geotech Center. ·       Steven Tiell founded and led Accenture’s global data ethics and responsible innovation practice.  He is a strategy executive with wide technology expertise and particular depth in data ethics and AI Governance.·       He provided guidance to the Monetary Authority of Singapore on their Fairness Ethics accountability & Transparency policy.We discuss: ‘How Trustworthy AI can be  instrumental in helping obtain positive outcomes, including accelerated innovation with AI’1.    What is Trustworthy AI2.    What is the place of Regulations in AI Governance.3.    What is effective AI Governance.4.    When we talk about AI Accountability, is it to the government? To Society?  Join us.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  32. 17

    EU AI Act: Impact and Next steps for Organizations

    Pamela Gupta CEO Trusted AI speaks with Anna Metsäranta on the impact of EU AI on Business .Anna Metsäranta heads Solita's work on sustainable use of AI. Solita is a European data, strategy, and AI company. She is a member of the Nordic Ethical AI Expert Group and was shortlisted for the DAIR awards for AI Ethics Professional of The Year 2023.We are aligned on our common vision to help organizations increase awareness of the risks and harms of AI, as well as helping organizations to adopt measures to take better control of their AI. This helps to ensure value creation as well as risks and impacts management.Anna and I discuss :Who does EU AI Act impact.How does it impact business risk and innovation.What is the next step - where do we go from here? I loved hearing Anna’s concept of algorithmic debt... “Similar to technical debt, there is a cost related to building and deploying AI systems without embedding the necessary transparency, accountability, and risk management measures. This is what I call algorithmic debt. Going full speed with implementation, omitting best practice methods for responsible use of AI, will be costly.”Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  33. 16

    The growing AI Regulatory power of FTC

    In episode #16 of Trustworthy AI: De-Risk adoption of AI, Pamela Gupta talks to noted Privacy expert Debbie Reynolds on FTC’s AI Regulatory powers and impact on Organizations. On November 21, 2023, the Federal Trade Commission (FTC) approved a resolution to facilitate the issuance of Civil Investigative Demands (CIDs) in AI-related investigations. This 10-year resolution allows streamlined issuance of these subpoenas, while the FTC retains ultimate control over their use. This action aligns with the FTC's broader strategy under Chair Lina Khan to enhance its regulatory authority in the AI sector. The FTC's move reflects a growing focus on the potential risks AI poses to consumers, acknowledging both its benefits and possible misuses, such as deception or discrimination further committing to protect individual rights against violations through advanced technologies. The Biden administration, in the hashtag#executive order on “safe, secure, and trustworthy development and use of artificial intelligence", encouraged the FTC to expand its regulatory activities in AI. The FTC's new resolution positions it to more vigorously investigate AI companies for illegal or unfair practices, underlining its ambition to become a leading AI regulator. The FTC has already initiated such actions, as evidenced by its investigation of OpenAI, the developer of ChatGPT. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  34. 15

    Trustworthy AI criticality in AI Initiatives & Product Development

    In this episode I talk with Jagan Rao from Service Now about real world AI product development and  AI initiatives and innovation with adoption of responsible and trustworthy AI.  Service Now is a cloud computing platform to help companies manage digital workflows for enterprise operations. Jagan Rao is Director Product Success, Risk ,SecOps, ESG, at Service working with a top 100 global companies. He leads a globally talented team of tenured product success managers and is working on various initiatives focusing on the customer on at scale initiatives and program helping customers to achieve quicker ROI.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  35. 14

    Business AI Risk Strategy

    A strategic approach to delivering business value with Responsible/Trustworthy AI  with Dr. Irina Mirkina.“We are in the business of risk management not fear mongering” Dr. Irina Mirkina, AI Strategist UNICEF.In this weekly podcast I explore the premise ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?In this episode I am speaking with Dr Irina Mirkina on managing organizational culture, proactively managing risk and responsible AI for intended outcomes.Dr. Irina Mirkina is an AI strategist and a leading expert on responsible AI. Working for increasing global awareness of both risks and benefits of artificial intelligence, Dr Mirkina is currently the AI Lead for the Office of Innovation at the United Nations Children’s Fund (UNICEF). Having built a successful career in academia and the private sector, she joined UNICEF to advance the ethical development and use of AI systems that respect children’s rights and save children’s lives.  I talked to Dr. Mirkina on these areas and more:We have been using ai, is Generative AI going to disrupt ai adoption and be the AI new value proposition exclusively? What practical & strategic challenges are  businesses facing with Generative AI technology?  We know mechanics required for ensuring success for AI - what about cultural change management ? What do you feel are the elements of responsible ai required to ensure a culture that can excel with AI.Highlight how can you be most strategic with Trustworthy AI/Responsible AI  and the impact it has on reducing business risks adoption of AI.Which Trusted AI's Essential Pillars of Trustworthy AI  did we cover in this talk? A strategic approach to delivering business value with Responsible/Trustworthy AI with a risk based approach.For questions or comments on this podcast reach out to me https://www.linkedin.com/in/buildingtrustedaiholistically/To request an AI adoption assessment: Trusted AI https://www.trustedai.ai/strategic-ai-risk-governance-compliance/ Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  36. 13

    CISA roadmap for Artificial Intelligence - Impact on business, our Future

    This week I want to talk about the evolving threat landscape and the emerging threats that companies and governments should be preparing for? How do we proactively prepare for the evolving Cybersecurity threats and what is the role of AI Cybersecurity in Trustworthy AI?Lets take a look at CISA, the operational branch of department of homeland security, DHS's  roadmap for Artificial Intelligence. Overall, CISA's roadmap aims to ensure safe, secure, and responsible use of AI in both public and private sectors, with a particular emphasis on cybersecurity and critical infrastructure. As noted in the President ‘s Executive Order 14110 “Safe, Secure, And Trustworthy Development and Use of Artificial Intelligence (AI),” “AI must be safe and secure .” Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  37. 12

    Generative AI and disinformation, disinformation as a service

    In this episode we talk about Generative AI and disinformation and disinformation as a service. I am talking to Ksenia Iliuk, Co-Founder of LetsData.  We uncover:1.     What is modern disinformation and its consequences for companies and governments? 2.     Disinformation as a Service: There is a rise in 'Disinformation as a Service' offerings on the dark web. How does this trend affect the threat landscape for companies and governments, and what preemptive measures can be taken? 3.     Generative AI in Disinformation: How is Generative AI currently being utilized to spread disinformation, and what makes it so effective? 4.     Impact on Companies: In what ways are companies particularly vulnerable to disinformation campaigns powered by Generative AI? 5.    Deepfakes and Synthetic Media and a lot more..Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  38. 11

    President's AI Executive order, our future with AI with Karen Hao

    Welcome to "Trustworthy AI: De-risk business adoption of AI," hosted by Pamela Gupta. In this episode Pamela talks with Karen Hao an award winning American journalist and data scientist. Currently a contributing writer for The Atlantic  The Wall Street Journal and senior artificial intelligence editor at the MIT Technology Review, she is best known for her coverage on AI research, technology ethics and the social impact of AI.Pamela is CEO of Trusted AI and a leading voice in Digital Governance, Risk Management, Business Strategy, Technology, and Cybersecurity. With extensive experience in global industry leadership, Pamela has explored critical themes like achieving business value with AI.She hosts these podcasts to bring guidance and strategies on identifying risks that can be addressed or mitigated by adopting a holistic risk based Trustworthy AI approach. She defined a framework for building Trust by Design, AI TIPS that rests on 8 essential pillars of trustworthy AI. Read more details at Trusted AI website https://Trustedai.ai.Pamela and Karen review and critique President Biden’s Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence released this week. Pamela asks Karen about the current state of AI and its progression, and its high impact on our present and future. The episode ends with Pamela quoting Karen from her article in MIT Technology Review on AI Ethics. “AI, in other words, is meant to help humanity prosper. Let’s not forget.” #simplypowerfulCan Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  39. 10

    How does Trustworthy AI help De-risk business adoption of AI?

    Can Trustworthy AI help De-Risk adoption of AI? What does it mean. In this podcast we reversed roles. Da-Wyone Haynes is the guest but he is the one posing questions to the host, Pamela Gupta.‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?Trusted AI’s Pamela Gupta defined 8 Essential pillars of Trustworthy AI, and a way to operationalize AI Governance, four years before NIST published their AI Risk Management Framework. The 8 Pillars are Security, Privacy, Transparency, Explainability, Audit, Regulations, Accountability and Ethics.In this episode we talk about some examples of AI initiatives that failed due to lack of a trustworthy pillar.  At Trusted AI specializes in operationalizing AI Trust and Risk management across ai adoption. product development and data life cycles. We create process and technology that helps mitigating risk and identifying growth opportunities through proven approaches.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  40. 9

    AI, GenAI, its value and hype

    In this podcast episode, technology consultant and author Dr. Jeffrey Funk, PhD talks with Pamela Gupta about AI, GenAI, its value and hype. His recently released book, Technology Change and the Rise of New Industries explores why new industries emerge at specific moments in time and in certain countries based on analyses of many industries, including those with an electronic and clean energy focus, he  challenges the conventional wisdom that performance dramatically rises following the emergence of a new technology, that costs fall due to increases in cumulative production, and that low-end innovations automatically become disruptive ones. Implementing the correct Trust AI principles can be complex.  Many companies are partnering with Trusted AI experts who can provide relevant guidance. I am Pamela Gupta, CEO Trusted AI and host interviews with industry leaders on challenges in operationalization of AI Trust. Answer ‘Can Trustworthy AI be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’?For questions or comments on this podcast reach out to me https://www.linkedin.com/in/buildingtrustedaiholistically/To request an AI adoption risk assessment: Trusted AI https://www.trustedai.ai/strategic-ai-risk-governance-compliance/ Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  41. 8

    De-risk business adoption of AI in Healthcare Application

    In this episode I speak with Manuj Aggarwal, a global AI thought leader and host of podcast ‘bootstrap your dreams’. We discussed an Computer Vision application his company Tetranoodle helped bring to market in additive manufacturing, printed orthotics, that helps analyze and ease foot pain.Manuj’s podcast, Bootstrapping Your Dreams, is one of the top-rated podcasts in the world, claiming the number one spot in the business and entrepreneurship category. As an expert in human psychology and growth hacking, Manuj believes in getting to the root of why people do things in order to shape business strategy. Computer vision is a field of artificial intelligence (AI) that trains computers to see, interpret and understand the world around them through machine learning techniques.Which Trusted AI's Essential Pillars of Trustworthy AI do we need for this application? Is it explainability? Can existing regulations such as HIPPA impact the protection of PII?Implementing the correct Trust AI principles can be complex.  Many companies are partnering with Trusted AI experts who can provide relevant guidance. I am Pamela Gupta, CEO Trusted AI and host interviews with industry leaders on challenges in operationalization of AI Trust. Get an answer ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI?'For questions or comments on this podcast reach out to me https://www.linkedin.com/in/buildingtrustedaiholistically/To request an AI adoption assessment: Trusted AI https://www.trustedai.ai/strategic-ai-risk-governance-compliance/ Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  42. 7

    Protecting Sensitive data real time and behavioral AI

    In this dialog Dr. Damodar Shah and Pamela talk about Data Privacy, Synthetic Fraud, and behavioral AI and how these are important now and impact on our future. We discuss the problem and solutions for safeguarding sensitive data that is being created in excessive volume by smart devices, social media and other means.One of the Trusted AI essential trustworthy AI pillars , cybersecurity is a double edged sword. It includes protecting threats to AI and threats from AI. We have to ensure the environment they are built in is secure. Second we have to ensure we are not creating unintended threats and or consequences by these systems such as through exposing highly sensitive data. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  43. 6

    De-risk business adoption of AI with Audit

    I am Pamela Gupta, CEO Trusted AI and host interviews with industry leaders on how Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI.One of the essential trustworthy AI pillars I had defined, namely Audit, refers to evaluating AI systems to ensure they work as expected without bias or discrimination and are aligned with ethical and legal standards. In this episode my guest is Ryan Carrier who is focused on Independent Audit of AI Systems as one means to mitigate the risk associated with artificial intelligence and began to build the business model associated a first-of-its-kind process for auditing corporate AIs, using a globally, open-source, crowd-sourced process to determine “best-practices”. Ryan serves as ForHumanity’s Executive Director and Chairman of the Board of Directors, in these roles he is responsible for the day-to-day function of ForHumanity and the overall process of Independent Audit.Ryan and I had discussed advanced areas of AI Aduit as a fireside chat, which I am presenting here as a podcast.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  44. 5

    Securing ML Lifecyle to create Trustworthy AI

    I am Pamela Gupta, CEO Trusted AI and host interviews with industry leaders on how Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI.Ways Trustworthy AI can help businesses from potential risks down the road, particularly related to areas such as Transparency, Explainability, Accountability, intellectual property compromise, ethical bias, data, cybersecurity and privacy.In this episode my guest is Diana Kelley. Diana is the Chief Information Security Officer (CISO) for Protect AI. She also serves on the boards of WiCyS, The Executive Women’s Forum (EWF), InfoSec World, CyberFuture Foundation, TechTarget Security Editorial, and DevNet AI/ML. Diana was Cybersecurity Field CTO for Microsoft, Global Executive Security Advisor at IBM Security, GM at Symantec.We discuss the challenges and differences between integrating Security into conventional applications and AI applications. Diana offers expertise in securing the Machine Learning Lifecyle.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  45. 4

    Role of Trust in AI Data Strategy

    In this episode  we talk with  Peter Cresse on data and AI. The importance of creating a AI data strategy with Trusted AI's Essential Pillars of Trustworthy AI, read about the pillars at trustedai.ai.Trustworthy AI is shown by research at MIT Sloan Management research to  promote better business outcomes, including accelerated innovation. It helps businesses from potential risks down the road, particularly related to areas such as intellectual property, bias, data, cybersecurity and privacy.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  46. 3

    Trustworthy AI : De-risk business adoption of AI with Privacy

    I am Pamela Gupta, CEO Trusted AI and host interviews with industry leaders on how Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation and Help businesses from potential risks down the road, particularly related to areas such as intellectual property compromise, bias, data, cybersecurity and privacy.In this episode my guest is EU former Data Protection Officer Petruta Pirvan. Founder of  EU Digital Partners, Petruta is a lawyer who has been advising large global companies such as Oracle, Accenture, giant shipping company Maersk, etc. on  data privacy, data protection management, digital law and AI. We talk about the impact of existing regulations from FTC and upcoming EU AI Act with regards to the use of automated/algorithmic decision making and risks they pose to the individuals and businesses alike.       Petruta gives examples, such as a fine issued in  2021 by the Italian Data Protection Authority (Garante) against the owner of GlovoApp 23, €2.6 million for numerous privacy violations regarding the algorithms used for management of its employees. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  47. 2

    Generative AI Cybersecurity & Trustworthiness

    This episode is on Generative AI Cybersecurity & Trustworthiness with our special guest Adrian Sanabria an Infosec expert, entrepreneur and thought leader. His experience with both the practical and business sides of the industry make him an excellent contributor on this topic.Generative AI Cybersecurity will require a agile and holistic approach, beyond what is available and being discussed. 2 eternal ai cybersecurity optimists talk about what needs to be done, yes it can be done and what is required for an effective approach to de-risk it for business adoption.Generative ai cybersecurity cannot be addressed by traditional safety and security controls for single purpose AI that was common before ChatGPT.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

  48. 1

    Episode 1: How can Trustworthy AI help De-Risk adoption of AI?

    Establishing trust in Artificial Intelligence represents a multifaceted and intricate challenge. The problem is not yet well-defined, and methodologies for its operationalization remain ambiguous. In 2020, I delineated eight essential pillars of Trustworthy AI. In our forthcoming discussions, we will explore the ways in which Trustworthy AI can be leveraged to benefit organizations in the successful implementation of AI initiatives.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

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Description:  Creating AI Trust is a very complex and hard problem. It is not clear what it is and how it can be operationalized.  We will demystify what is Trustworthy AI, efficient adoption and leveraging it for reducing risks in AI programs.McKinsey reports indicates companies seeing the biggest bottom-line returns from AI—those that attribute at least 20 percent of EBIT or profitability to their use of AI—are more likely than others to follow Trustworthy AI best practices, including explainability. Further, organizations that establish digital trust among consumers through responsible practices such as making AI explainable are more likely to see their annual revenue and profitability grow at rates of 10 percent or more.

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Pamela Gupta

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