E148 | What is trustworthy AI and how do we achieve it?

In this episode, we explore the principles of trustworthy AI with Pamela Gupta, Chief AI Governance and Trust Officer and founder of Trusted AI.Pamela shares her journey of building a company dedicated to responsible and ethical AI. She introduces the eight essential pillars of trustworthy AI, focusing on critical aspects such as transparency, fairness, bias mitigation, privacy, and security. The conversation delves into real-world examples of AI failures, like bias in healthcare models, and how these lessons underline the importance of robust, human-centric design in AI systems.We discuss the challenges of ensuring diverse data representation, the dangers of AI hallucinations, and the strategies businesses can adopt to ensure ethical AI implementation. Pamela highlights the importance of accountability and the role of strategic governance in achieving resilient and trustworthy AI, especially in high-risk areas like healthcare.Guest: Pamela Gupta – Founder & CEO of Trusted AI, expert in AI governance, cybersecurity, and risk management.Topics Covered:What is trustworthy AI and why it matters.The eight pillars of trustworthy AI.The risks of bias and fairness in AI systems.Transparency and explainability in AI models.Privacy and security in AI frameworks.Accountability in AI development and deployment.Real-world examples of AI failures and lessons learned.Human-centric design for ethical AI.How to avoid pitfalls when adopting AI in healthcare and other high-risk industries.Connect with Pamela Gupta:Website:Trusted AILinkedIn: Pamela Gupta LinkedInAbout the Podcast:AI For Pharma Growth is the podcast from pioneering pharma artificial intelligence entrepreneur Dr. Andree Bates. This show aims to demystify AI for all pharma professionals, from biotech startups to Big Pharma. Dr Bates shares her expertise and insights into how AI-powered tools can save time, improve outcomes, and grow pharma businesses.Each episode features industry leaders and innovators showcasing how AI can be applied to areas like sales, marketing, production, social media, customer insights, and much more.For more resources and information: AI For Pharma Growth