Everything AI & Law

These demos show how AI can move beyond random prompting and become part of a real business system with intake forms, AI processing, documents, trackers, internal review emails, and human approval.DEMO 1: Meeting Notes to Executive Action PlanThis workflow turns messy meeting notes into a structured action plan, creates a Google Doc, and sends an internal review email.DEMO 2: Lead Inquiry to Opportunity BriefThis workflow turns a lead inquiry into an internal opportunity brief, updates a Google Sheet tracker, sends an internal review email, and prepares a client-facing Gmail draft for human review.The goal is not just to use AI tools. The goal is to understand how to connect the pieces into practical workflows that save time, improve follow-up, and keep human judgment in the loop.Here are the available NEXT STEPS:1. I Implementation Audit & Roadmap:A focused diagnostic and advisory engagement for businesses, professional services firms, institutions, and small teams that want clarity before adopting AI, buying tools, or automating workflows.LINK: https://www.tolulopeawoyomi.com/offers#audit-details2. AI Automation Implementation Cohort:A 6-week live guided implementation experience for business leaders who want structure, accountability, and practical support to move from AI ideas to working workflows.LINK: https://www.tolulopeawoyomi.com/offers#cohort-details

In this masterclass, Tolulope Awoyomi, AI Implementation Strategist and AI × Law Specialist, explains how businesses can move from AI curiosity to practical, safe, and measurable implementation.You will also hear practical examples of how AI-assisted workflows can turn messy meeting notes into action plans and lead inquiries into opportunity briefs.HELPFUL LINKS:1. I Implementation Audit & Roadmap:A focused diagnostic and advisory engagement for businesses, professional services firms, institutions, and small teams that want clarity before adopting AI, buying tools, or automating workflows.LINK: https://www.tolulopeawoyomi.com/offers#audit-details2. AI Automation Implementation Cohort:A 6-week live guided implementation experience for business leaders who want structure, accountability, and practical support to move from AI ideas to working workflows.LINK: https://www.tolulopeawoyomi.com/offers#cohort-detailsConnect with Tolulope Awoyomi:https://www.linkedin.com/in/tolulope-awoyomi/

Most people are using ChatGPT without thinking about one important thing: safety.Not everything you can do with ChatGPT is something you should do, especially if you care about your data, your work, or how reliable your outputs are.In this episode, I walk through 4 safe and practical AI agent workflows you can start using immediately. No coding. No extra tools. Nothing that puts your data at risk.These are just a few examples. Once you understand how this works, you will start to see how many other safe workflows you can build and apply in your daily life or business.If you want to learn how to build these step by step and explore more safe workflows you can actually use:https://nestuge.com/chatgptagentsAI is not about doing everything. It is about doing a few things well in a way that actually saves you time.

In this episode, I share two songs I created using AI, guided by just a few prompts.One follows an Afrobeat direction.The other is an R&B-inspired, instrumental piece centered on hope.What stood out was how complete they felt, from structure to sound, all shaped in minutes.Listen to the full songs here:https://linktr.ee/tee_wonder

Seeing is no longer believing.Generative AI is changing how evidence is created, presented, and challenged in legal settings. Courts have long relied on audiovisual material as a form of “silent witness.” If it appeared authentic and could be minimally verified, it was often accepted.That assumption no longer holds.In this episode, we explore how AI-generated content is creating two critical risks: fabricated evidence being accepted as real, and genuine evidence being dismissed as fake. This second risk, often overlooked, is reshaping trust in digital evidence.This phenomenon is commonly referred to as the “liar’s dividend.”This is no longer theoretical. It is already happening.

Artificial intelligence is advancing faster than the law. But three major court cases may shape the legal future of AI for decades.In this episode, we examine three landmark lawsuits that raise critical questions about artificial intelligence, copyright law, and the future of creative industries.Together, these cases raise important questions about AI training data, fair use, and whether large AI models can legally train on copyrighted material.These disputes could influence how courts interpret copyright law in the age of artificial intelligence.---🎙 Hosted by Tolulope Awoyomi- AI & Law Specialist | AI Educator

In this episode, Tolulope Awoyomi breaks down the evolution of AI into three waves, Traditional AI, Generative AI, and Agentic AI, and explains what makes AI agents different from simple chatbots.You’ll discover:The 5 key traits of AI agents (context awareness, goal breakdown, execution, memory, adaptability)Why agentic AI is the third wave of AI (focused on action, not just information)A live demo of a travel-planning AI agent🎧 Perfect if you’re curious about AI beyond chatbots or want inspiration to build your own AI-powered agents.👉 If you’d like a tutorial episode on how Tolulope built and configured this AI travel planner (with APIs + automation tools), drop feedback in the Q&A or comments.Chapters00:00 — What are AI Agents?11:11 — Live Travel Agent DemoFollow, share, and rate this show if you enjoy practical, beginner-friendly AI insights.

AI is no longer optional in legal practice. In this video, Tolulope Awoyomi, Lawyer, AI Educator, and Founder of AI & Law Bridge, shares a practical guide for lawyers who want to stay competent, competitive, and compliant in 2025.You will learn:- Core AI terms explained in plain English (LLMs, RAG, embeddings, hallucinations)- ABA Formal Opinion 512 and what it means for your duty of competence- How firms and clients are already expecting AI-driven efficiency- Tools like CoCounsel, Harvey AI, Relativity aiR, Clio Duo, Spellbook, and more- IP and policy updates shaping your practice (USCO, USPTO, EU AI Act)- A practical 30-60-90 day action plan you can take back to your firmThis is a no-hype, practical guide to staying competitive, competent, and compliant as AI reshapes the profession.Presenter:Tolulope AwoyomiLawyer | AI Educator | Founder, AI & Law BridgeConnectLinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/Email: [email protected]

Can artificial intelligence be trusted in life-and-death medical decisions?In this episode, I (Tolulope Awoyomi) sat with Abhinavdutt Singh, an expert at the intersection of AI, compliance, and regulated medical technologies. Abhinavdutt brings deep experience from working with global standards bodies like IEEE, ForHumanity, and OWASP, and advises on AI governance, safety, and regulatory strategy across high-risk domains like healthcare and medical devices.We explored:Whether current regulations like ISO 14971 and IEC 62304 can keep up with evolving AIWhat happens when an AI makes a dangerous medical decision, and who’s responsibleHow AI could help, or harm, efforts to reduce healthcare backlogs like the NHS triage crisisCommon traps medtech startups fall into with AI complianceWhether we need to rethink our entire model of risk, liability, and trust in medicineIf you're building, regulating, or using AI in healthcare, this episode is essential listening.

In just the past six months, AI has collided head-on with U.S. law.From headline-making lawsuits by The New York Times and music labels to major federal and state regulatory moves, the legal system is now shaping how AI is built, deployed, and held accountable.In this video, we break down the biggest legal developments impacting artificial intelligence in the United States, including:✅ Generative AI lawsuits over copyright, music, and visual art✅ FTC enforcement actions on AI fraud and deceptive claims✅ Groundbreaking facial recognition reforms and civil rights cases✅ State laws targeting algorithmic bias and surveillance✅ Ongoing debates in Congress about federal AI oversightThis update is powered by The Everything AI & Law Podcast, your source for smart, human, and grounded analysis at the intersection of tech and the law.🔔 Subscribe for future updates🎧 Follow the podcast wherever you get your audio📩 Download the companion PDF briefing from the link in the description

Welcome to this easy-to-follow breakdown of the Confusion Matrix; no fluff, just clarity. In this video, I (Tolulope Awoyomi) walk you through:- What a Confusion Matrix really is- How to draw and label one from scratch- The meaning of True Positive, True Negative, False Positive, and False Negative- A relatable real-world example: Spam Email Classifier- And how to calculate evaluation metrics: Accuracy, Precision, Recall, and F1 ScorePerhaps you’re preparing for a machine learning interview or just brushing up on model evaluation, this is for you.----------------------Also! I’m thrilled to announce my new book "AI, Machine Learning, Deep Learning: From Novice to Pro" is available for pre-order now. Here is the preorder link - ⁠⁠https://a.co/d/fJX1qUE⁠

What makes up an AI model? It’s simpler than you think. In this video, I break down my secret formula:AI Model = Training Data + Algorithm.You’ll learn:The role of training data and algorithms in building AI The core training dilemma: Optimization vs. GeneralizationCommon errors in model training: Overfitting vs. UnderfittingWhat “High Variance” and “High Bias” actually meanThis is a beginner-friendly explanation that cuts through the jargon and gets straight to the point.----------------------Also! I’m thrilled to announce my new book "AI, Machine Learning, Deep Learning: From Novice to Pro" is available for pre-order now.Here is the preorder link - ⁠https://a.co/d/fJX1qUE⁠

In this powerful episode of the Everything AI and Law podcast, I sit down with Matthew Vaele, a European Patent Attorney with a background in computer science, to explore one of the most thought-provoking questions of our time:Can AI truly invent, or is it simply a prediction engine?Drawing from his deep expertise and his role at Patsnap, a global leader in AI-powered IP and R&D intelligence, Matthew unpacks how artificial intelligence is reshaping intellectual property, patent law, novelty assessments, and the entire innovation landscape.From real-world patent strategy to philosophical debates on inventorship, this conversation is packed with practical insights and bold perspectives. If you care about the future of creativity, technology, law, or innovation, this one’s for you. -------------------------------------Also! I’m thrilled to announce my new book "AI, Machine Learning, Deep Learning: From Novice to Pro" is available for pre-order now and will officially launch on August 9, 2025 (hardcover lovers, mark your calendars too!). Here is the preorder link - https://a.co/d/fJX1qUE

In this video, I showcase two short movies made entirely with AI tools, and then walk you through how I created them step by step.I used ChatGPT for prompt writing, Sora (OpenAI) and Google Veo 3 for video generation, and royalty-free music to bring it all together in post-production.What You’ll See:– Two original AI-generated short movies– My full creation process– Tips for writing effective prompts– The AI tools I used, and how I combined themTools Used:✅ ChatGPT✅ Sora (by OpenAI)✅ Google Veo 3✅ Royalty-Free Music✅ Video Editing SoftwareChapters:0:00 Intro0:45 AI Short Movie #13:17 AI Short Movie #25:32 Behind the Scenes: Full BreakdownIf you're curious to learn more about how AI works?Pre-order my book: "AI, Machine Learning, Deep Learning: From Novice to Pro"👉 https://a.co/d/dmZ7FXJConnect with me:🔗 LinkedIn: linkedin.com/in/tolulope-awoyomi🔗X (Twitter): x.com/TolulopeAwoyomiEmail: [email protected]

Master the concept of Recurrent Neural Networks (RNNs). In this video, you’ll learn:- What RNNs are and how they workDifferences between RNN, LSTM, and GRUThe underlying concepts behind RNN operationsHow RNNs power applications in NLP, time series prediction, and moreReal-world applications in NLP and time seriesIf you're a beginner or simply looking to enrich your understanding of deep learning theories, this video offers a clear, accessible explanation without any programming. It's perfect for students, educators, and AI enthusiasts!----------------------Also, pre-order my book “AI, Machine Learning, Deep Learning: From Novice to Pro” here - https://a.co/d/c1MQuXj

Deepfakes are an AI technology that makes it look like someone said or did something they never actually said or did. You’ve probably seen a few online. These videos may look real, but they are completely fake. Behind this technology is a powerful deep learning model called a Generative Adversarial Network, or GAN for short.To me, GANs work like a fascinating game, especially the way they’re trained. Come with me, let me explain.A GAN is made up of two networks:𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 creates fake (synthetic) data samples𝗗𝗶𝘀𝗰𝗿𝗶𝗺𝗶𝗻𝗮𝘁𝗼𝗿 tries to figure out if a sample is real or fakeThey act like two players in a cat and mouse game, each one trying to outsmart the other.At first, the Discriminator is trained on real data (the training data). Once it has a good understanding of what real data looks like, the Generator is brought in.Now here’s the fun part. The Generator is not trained with the real data. Instead, it is given some random noise (just numbers) as input. Its challenge is to turn that random noise into something so realistic that it fools the Discriminator into thinking it is real data.𝗦𝗼, 𝗵𝗼𝘄 𝗱𝗼𝗲𝘀 𝘁𝗵𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 𝗲𝘃𝗲𝗻𝘁𝘂𝗮𝗹𝗹𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝗲 𝗱𝗮𝘁𝗮 𝘁𝗵𝗮𝘁 𝗹𝗼𝗼𝗸𝘀 𝗿𝗲𝗮𝗹 𝗲𝗻𝗼𝘂𝗴𝗵?That’s the beauty of the setup. Every time the Discriminator catches a fake, the Generator learns from that mistake and tries again. The Discriminator gets better at spotting fakes, and the Generator gets better at creating more convincing ones. They both improve by competing with each other.---------------Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/4cRP3oM

What happens when artificial intelligence goes head-to-head with real lawyers?In this mind-bending episode, we explore the legal battle of the century: AI vs Human Lawyer. From courtroom showdowns to drafting complex contracts in seconds, we unpack the real potential — and real risks — of AI in the legal world.Some topics we explored are:Whether AI can out-argue a human in courtHow AI is reshaping law firms, legal media, and ethicsWhat legal jobs might disappear (and what new ones will rise)Real-world legal tasks: Should AI or a human do them?If you're a lawyer, law student, tech enthusiast, or just curious about how AI is shaking up one of the oldest professions on earth, this episode is for you.🔔 Follow for bold conversations at the intersection of law, tech, and the future of work.-----------------📖 Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/dmZ7FXJ.

In Part I, we explored how a simple neural network could tell a Bulldog from a German Shepherd just by analyzing images.In Part II, we go deeper into the mechanics of deep learning.You'll learn how cost functions, the chain rule, gradient descent, backpropagation, and forward passes help artificial neural networks learn and improve accuracy.We break it down step-by-step with real-world examples, making it simple to understand how machines "think" and "learn" through constant adjustment.Topics in this episode:How neural networks start with random weights and biasesWhat the cost function measuresHow the chain rule helps identify errorsHow gradient descent improves predictionsWhat happens during backpropagation and forward passesPerfect for visual learners and curious minds interested in AI, machine learning, and deep learning.-----------------📖 Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/igaehTZ

In this video, I break down how deep learning works in a simple, beginner-friendly way. You’ll learn the basics of neural networks, how they process data through layers, the role of weights, bias, and the popular ReLU activation function.Perfect if you're new to AI, machine learning, or just want a visual, no-fluff explanation of how these systems learn and make decisions.Please follow for more easy-to-digest AI concepts.📱 Connect with me on LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/ 📱 Follow me on X: https://x.com/TolulopeAwoyomi--------------You can pre-order my book "AI, Machine Learning, Deep learning: From Novice to Pro" here - https://a.co/d/igaehTZ.

In this video, I break down how AI and machine learning actually work — especially in response to a surprising claim I reacted to in a previous video: that AI is a “demon” or “fallen angel.”This is a simplified overview meant to help you understand the real process behind AI — no fear-mongering, no mysticism, just real talk on algorithms, data, and learning systems.If you’ve ever been confused about how AI or machine learning functions, this video is for you.Preorder my new book:"AI, Machine Learning, Deep Learning: From Novice to Pro"Available now on Amazon → https://a.co/d/6vLYEIH

In this episode of Everything AI and Law, Tolulope sits down with Monica D. Higgins to talk about something that's becoming more and more urgent: when AI messes up—who’s to blame?From biased algorithms to deepfakes, from legal personhood to job loss fears—this conversation goes deep. Monica shares honest, practical insights from her work at Future Proof, where she helps companies and individuals make AI useful and actually make sense in the real world. It’s smart, eye-opening, and packed with gems—whether you’re into tech, law, or just trying to figure out where you fit in the AI age.🧭 Timestamps & Topics:00:00 – The biggest ethical blind spot in AI adoption02:00 – OpenAI’s Sora & systemic bias in AI-generated content04:56 – Should AI be granted legal personhood?07:58 – Rights vs. responsibilities: Who is truly accountable?09:09 – Agentic AI: Excitement, fear & future implications10:05 – Upskilling: The antidote to AI-induced job displacement12:30 – How Future Proof designs role-specific AI training14:37 – Deepfakes: Real concerns in a synthetic world17:03 – A universal code of ethics for AI?18:33 – Transparency, bias & the ethics checklist19:13 – AI companionship: Support or silent danger?21:02 – Negligence & product liability in AI deployment23:00 – Should AI liability be a new legal category?23:53 – AI in hiring: The case for algorithmic bias audits24:49 – Should agency be granted to AI?25:09 – What’s next for Future Proof & AI innovation27:35 – Final thoughts: Upskilling, value, and the future of work28:50 – Monica’s vision: “Let technology live up to its hype”Connect with Monica D. Higgins & FuturProof:🔗 LinkedIn🌐 FuturProof WebsiteConnect with Tolulope Awoyomi (Host):🔗 LinkedIn🔗 TwitterLike what you heard? Hit subscribe, leave a rating/review, and share it with someone who needs to hear this.Tag us with your thoughts using #EverythingAIAndLaw

AI isn't just replacing jobs — it's creating entirely new ones.In this video, we explore 24 exciting jobs emerging from the rise of artificial intelligence — split into technical and non-technical roles.Whether you're a coder, a creative, or just curious about where the world is headed, this video will open your eyes to the career opportunities of tomorrow.Now is the time to adapt, learn, and thrive in the AI era.🎙️ Hit follow to stay updated on tech, AI, and the future of work.

It's well known that AI cannot exist without data. However, we need to balance this as sensitive information shouldn't be exposed.In this video, I show you two simple ways to protect your data from being used to retrain AI models like ChatGPT.As a technologist, I understand that AI depends on data and that these models need continuous improvement. At the same time, as a lawyer, I recognize the privacy risks AI presents—especially when it comes to personal and confidential data that must be protected.While this video focuses on ChatGPT, the same concerns apply to other AI tools. Even if you don’t use ChatGPT or have a paid plan, it’s important to understand the risks of sharing sensitive data with AI models—it could be used to retrain them.Think of it this way: Entering sensitive data into an AI tool is like posting your private information on the open internet. Once it’s out there, you have little control over where it might end up.So what can you do?Opt out of AI training when possible.De-identify your data before sharing.Read the privacy policies—yes, they’re long, but they matter.--------Follow for more AI insights. 

Want the latest AI news, breakthroughs, and policy updates in one place? Tune in every Monday for a quick yet deep dive into the biggest AI developments from the past week.What’s Inside?AI Innovations – The latest models, tools, and research shaping the future.AI Laws & Regulations – Key government policies and legal shifts.Industry Updates – Startups, acquisitions, and big tech strategies.Ethical Debates & AI Controversies – The impact of AI on jobs, privacy, and society.New Episodes Every Monday! Hit Follow so you never miss an update!Join the Conversation:💬 What’s your take on this week’s AI news? Share your thoughts!⭐ Follow & Rate to stay ahead of the AI curve!

Thinking about using AI but don’t know where to start? In this episode, I’ll walk you through five easy ways to access AI models and begin leveraging artificial intelligence in your projects, business, or everyday life.Follow the podcast for more AI insights!------------📌 Pre-order AI, Machine Learning, Deep Learning: From Novice to Pro

Pre-order AI, Machine Learning, Deep Learning: From Novice to Pro.

Get to know about the podcast and the host!----------------Pre-order AI, Machine learning, Deep Learning: From Novice to Pro

Welcome to this week's AI Weekly Recap, where we break down the biggest developments in artificial intelligence, machine learning, and tech policy. This episode covers:Google vs. Chegg: The AI antitrust battle that could change search foreverOpenAI’s GPT-4.5: What’s new in the latest AI model release$100B AI Investment: France makes a massive bet on AIAI in Healthcare: NHS hospitals using AI for surgery prioritizationAI Job Automation: Klarna’s chatbot replaces 700 customer service jobs---------------------------- Connect with me on social media:🔹 LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/🔹 Twitter: https://x.com/TolulopeAwoyomi----------------------------📖 Pre-Order My Book: "AI, Machine Learning, Deep Learning: From Novice to Pro"Get ahead in AI and tech! Pre-order here: https://a.co/d/bUOyKqF--------------------------Watch 24/7 AI News Recaps on YouTube!Stay up to date with nonstop AI insights and discussions →  https://www.youtube.com/@EverythingAIandLawPodcast

Stay updated with the latest AI news, breakthroughs, and legal updates! Every Sunday, we bring you a detailed recap of everything that happened in AI this past week. From AI advancements, regulations, and controversies to startups and big tech moves, we’ve got you covered! Topics Covered in This Live Stream:✅ Latest AI Developments – New AI models, research, and innovations.✅ AI Laws & Regulations – Legal challenges and government policies.✅ Tech Industry Updates – AI startups, acquisitions, and investments.✅ AI Controversies & Ethical Debates – The impact of AI on jobs, privacy, and more.New AI Weekly Recap Every Sunday! Don't Miss Out!---------------Pre-order: AI, Machine learning, Deep Learning: From Novice to Pro---------------

Are AI models and AI tools the same? Not quite! In this video, we break down the key differences between AI models and AI tools. AI Models: Provide intelligence through machine learning, deep learning, and NLP. AI Tools: Utilize AI models to perform specific tasks in business, healthcare, and more.Connect with Tolulope Awoyomi:: LinkedIn Twitter/X-------------------------Pre-order: AI, Machine Learning, Deep Learning: From Novice to Pro

"AI is still a solution in search of a problem." - Jason GreenwoodIn this final episode of 2024, Tolulope Awoyomi (Tolu) is joined by Jason Greenwood, founder of Greenwood Consulting and host of the Ecommerce Edge podcast.Together, they dive deep into how AI is revolutionizing e-commerce, the rise of digital nomadism, and the future of personal branding in an AI-driven world.Key Topics Covered: AI & E-Commerce – How AI is transforming online businesses Are We in an AI Bubble? – Hype vs. Reality of AI’s growth Balancing Human Touch & Automation – The role of AI in decision-making Digital Nomad Lifestyle & AI – Challenges and opportunities Personal Branding in the AI Era – Authenticity vs. AI-driven contentJason shares his hands-on experience with AI tools, offering practical insights for entrepreneurs, content creators, and digital nomads navigating this evolving space.Whether you're a tech enthusiast, e-commerce entrepreneur, lawyer, or exploring the nomadic lifestyle, this episode is packed with valuable insights!Chapters: 0:00 AI version of Tolu - Gratitude Message 00:27 Intro Video 00:44 Welcome & Introductions 02:26 AI + E-Commerce 05:28 Are We in an AI Bubble? 09:06 Human Touch vs. Automation 14:02 AI’s Benefits vs. Risks 17:52 Elon Musk’s “Ant Conundrum” Analogy 20:23 Authenticity in Personal Branding 24:28 Digital Nomadism 30:34 AI’s Role in the Nomadic Lifestyle 32:35 AI is Your Friend 32:57 Advice for Aspiring Creators (Closing Thoughts) 35:14 Outro-------------------------Pre-order: ⁠AI, Machine Learning, Deep Learning: From Novice to Pro-------------------------Connect with Us: Tolulope Awoyomi Jason Greenwood

Expertise + High-Quality Data: The True Fuel for AI In a world dominated by AI tools trained on average internet data, expertise is becoming more valuable than ever. While many say “data is the new oil,” I believe that expertise + rare, high-quality data is the real game-changer.In this episode of the Everything AI & Law Podcast, I sit down with Cody Schneider, Co-founder of Swell AI, to discuss the evolving AI landscape, data strategies, and the future of automation.Key Topics Covered: AI’s Proliferation – Is AI taking over or collaborating with humans? AI in Law – How AI is disrupting legal services Data Strategies – APIs vs. Custom Models & Privacy Concerns AI Implementation – Best strategies for businesses adopting AI Will We Achieve AGI? – The future of AI & artificial general intelligence The Role of Expertise in AI – Why human expertise is more valuable than ever AI & The Future of Work – How AI will reshape jobs & human roles Authenticity in AI Content – Balancing automation with credibility What’s Next for Swell AI & Draft Horse AI? – Insights from CodyThis episode is perfect for: 1) Entrepreneurs, tech enthusiasts, and business leaders navigating AI adoption; 2) Data scientists & AI researchers exploring the future of AI models; 3) Legal professionals curious about AI’s impact on the legal sector.Listen now and unlock valuable insights on the future of AI, data, and expertise!Chapter Timestamps: 00:00 Video Snippet 00:17 Video Intro 00:27 Cody Schneider’s Introduction (Draft Horse AI & Swell AI) 03:16 AI’s Proliferation: Taking Over or Collaborating? 05:54 AI in the Legal Sector 12:12 Data Strategies: APIs vs. Custom Models (Privacy Concerns) 16:33 AI Implementation: Strategies for Businesses 21:57 Will We Achieve AGI? 25:38 Balancing AI Enthusiasm with Skepticism 30:09 Impact of AI on Jobs & Human Roles 33:00 Authenticity in AI-Generated Content (Expertise is More Valuable) 36:31 Data is the New Oil 39:02 AI Beyond Generative Models 41:16 What’s Next for Draft Horse AI & Swell AI? 43:23 Advice for Businesses & AI Learners 47:36 Final Thoughts & Interesting Closing Conversation 48:54 Outro-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Cody Schneider: Twitter/X LinkedIn Website: swellai.comConnect with Tolulope Awoyomi: Twitter/X LinkedIn

As AI rapidly evolves, how can we ensure transparency, accountability, and ethical innovation? In this episode of the Everything AI & Law Podcast, I (Tolulope Awoyomi) sit down with Lusine Petrosyan and Trung Lam, two AI experts from the National Fair Housing Alliance, to discuss the intersection of AI governance and engineering.Key Discussion Topics: Textrify: AI vs. Human Content Detection – A tool bridging policy & engineering AI Detection & Accountability – The challenges of distinguishing AI-generated content The ‘Cat and Mouse’ Race – AI developers vs. detection systems Balancing AI Innovation & Regulation – Finding the right policy approach De-biasing AI Models – Technical & policy-driven solutions Interdisciplinary Collaboration in AI – Why policy & engineering must work together AI Ethics & Public Perception – Addressing fears & misconceptions The Future of AI & Policy – What’s next in AI governance?Lusine, an AI governance researcher, and Trung, an AI engineer, share their collaborative journey developing Textrify, a tool designed to distinguish between AI-generated and human content. Our discussion highlights the importance of cross-disciplinary collaboration in ensuring ethical and responsible AI development.Whether you’re an AI enthusiast, policymaker, software engineer, or just curious about the future of AI accountability, this episode is packed with valuable insights!Chapter Timestamps: 00:00 Snippet 01:21 Textrify: Bridging Policy & Engineering in AI 06:21 The Role of AI Detection Tools in Accountability 10:56 The 'Cat and Mouse' Race in AI Detection 13:51 Balancing Innovation & Regulation 21:36 De-biasing AI: Technical & Policy Approaches 27:31 Importance of Interdisciplinary Collaboration in AI 32:36 Ethics, Public Fear & AI’s Future 41:36 Exciting Prospects in AI & Policy 46:56 Closing Thoughts & Key Takeaways-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Us: Tolulope Awoyomi Lusine Petrosyan Trung Lam

In this solo episode, I break down two of the most important subfields of Artificial Intelligence (AI): Machine Learning and Deep Learning. Understanding these concepts is crucial for anyone interested in AI, whether you're a beginner or an experienced tech enthusiast.What You’ll Learn in This Episode: Machine Learning (ML) – How AI learns patterns from data Deep Learning (DL) – Neural networks and their role in automation Key Differences Between ML & DL – When to use each approachListen now to get a clear and practical understanding of AI’s core subfields!-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: LinkedIn Twitter/X

As AI technology advances, the legal landscape is evolving to address digital evidence, deepfakes, and cybersecurity risks. How do courts verify AI-generated vs. authentic content? What are the legal and technical challenges ahead?In this episode, Tolulope Awoyomi is joined by W. Curtis Preston, a cybersecurity and data recovery expert, to explore the intersection of AI, law, and digital forensics.Key Discussion Topics: Technical vs. Legal Expertise – Why both perspectives matter in AI law AI in the Legal Industry – Current and future impact of AI on legal practice Deepfakes & Digital Evidence – How AI-generated content is influencing court proceedings Authenticating Digital Evidence – Differentiating real vs. AI-generated material Explaining AI & Tech to Lawyers – Bridging the gap between legal and technical professionals AI & Cyber Recovery – The intersection of AI, law, and cybersecurity Ethical Challenges of AI in Law – How to ensure responsible AI use in the legal system Future Predictions – AI, discovery, and the legal landscape in the next decadeThis episode is essential for legal professionals, tech experts, cybersecurity specialists, and anyone interested in AI’s role in the justice system!Chapter Timestamps: 00:00 - Prelude 00:38 - Introduction 01:40 - Why the blend of Technical Expertise and Legal Knowledge 03:35 - Initiated 3 legal cases as a non-attorney and prevailed 06:38 - Law, Tech, and AI: Impact and influence in the legal industry 09:40 - AI in court: Deepfakes and challenges in presenting digital evidence 14:59 - Differentiating AI-generated vs. authentic content in legal cases 16:12 - How to explain AI and tech to legal professionals 23:10 - Should lawyers learn technical concepts? 24:52 - AI’s role in cybersecurity & data recovery 26:10 - Ethical AI challenges in the legal industry 28:31 - AI’s impact on law, discovery, and digital forensics in the next decade 34:02 - Final Thoughts 34:52 - Outro-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: LinkedIn Twitter/X

This solo episode continues my AI explainer series, designed to help you understand artificial intelligence in a simple and practical way.In this episode, I break down the different types of AI, explaining their unique features, real-world applications, and potential future developments.Whether you're an AI enthusiast, tech professional, or just curious about AI, this episode simplifies everything you need to know!-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/ Twitter/X: https://x.com/TolulopeAwoyomi

As artificial intelligence (AI) evolves, ethical concerns, societal impact, and AI safety remain critical discussion points.In this episode, Dr. Michael Akinwumi joins Tolulope Awoyomi to explore the challenges, biases, and ethical dilemmas in AI, while imagining future frontiers of artificial intelligence.Key Discussion Topics: AI Stakeholder Engagement – The need for diverse voices in AI development Bias & AI Mirrors – How AI reflects historic biases & hallucinations in ML AI & Discrimination – Ethical challenges in decision-making algorithms Balancing Ethics & Innovation – Should one take priority over the other? AI Education & Literacy – The growing need for AI awareness across industries AI’s Impact on Jobs – The future of work & AI’s role in employment Personalized Algorithms & Risks – Preparing for emerging AI challenges Future of AI & Content Differentiation – Human-written vs. AI-generated contentThis episode is essential for AI researchers, policymakers, developers, and anyone interested in the ethics and future of AI!Chapter Timestamps: 00:00 - Introduction / Short Clip 00:27 - Interlude 01:47 - Stakeholder Engagement in AI Development 09:22 - AI/ML Resembling Human Biases 11:09 - Bias & Assumptions vs. Discrimination 18:30 - Ethical Challenges in AI Safety 23:40 - Ethical Values vs. Innovation: Which Comes First? 26:31 - Can Teams with Different Thinking Modes Work Together? 30:44 - The Importance of AI Education & Literacy 32:42 - AI’s Impact on Employment & Workplace AI Adoption 37:00 - Imagining the Future with AI 42:18 - Risks of Personalized AI Algorithms 43:42 - Preparing for Future AI Risks 44:42 - AI Model to Differentiate Human vs. AI-Generated Content 50:19 - Conclusion-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Dr. Michael Akinwumi: LinkedIn: https://www.linkedin.com/in/makinwumi/Connect with Tolulope Awoyomi: LinkedIn: Thttps://www.linkedin.com/in/tolulope-awoyomi/ Twitter/X: https://x.com/TolulopeAwoyomi

We often ask, "What is AI?". But today, let's flip the question: What is NOT AI?In this episode, Tolulope Awoyomi breaks down three common misconceptions about artificial intelligence, helping you separate fact from fiction in the AI space.If you're curious about AI and want to understand what it truly is (and isn't), this episode is for you!Chapter Timestamps: 00:00 - Intro 00:21 - Introduction 00:32 - Misconception #1: AI vs. Automation 04:03 - Misconception #2: AI & Human-Like Thinking 04:46 - Misconception #3: AI is Always Objective & Unbiased 07:13 - Concluding Thoughts 08:52 - Outro-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/ Twitter/X: https://x.com/TolulopeAwoyomi

In this insightful podcast episode, we dive deep into Responsible AI, algorithmic bias, and the ethical considerations of AI systems.Our special guest, Dr. Michael Akinwumi, Chief Responsible AI Officer, shares his expertise on how to ensure AI is ethical, transparent, and accountable. This is the first part of a two-part series on the evolving landscape of AI governance.Key Discussion Topics: The Role of Responsible AI – Why ethical AI matters now more than ever NFHA’s Efforts in Eliminating Algorithmic Bias – Fighting discrimination in AI systems Five Principles of Responsible AI – The foundation of ethical AI development Explainability vs. Black Box AI Models – Understanding AI decision-making Building AI Systems – Core components and challenges Specialization in AI – Different fields within AI research & development Mathematics in AI – The role of applied mathematics in AI innovation AI as a Socio-Technical System – The human & technological impact of AI Preparing for the Future of AI & Work – Encouragement for aspiring AI professionalsIf you're passionate about AI ethics, fairness, and transparency, this episode is a must-listen!Chapter Timestamps: 00:00 - Podcast Intro 00:35 - Introduction of Guest 01:32 - Guest Introduces Himself 02:15 - NFHA & Eliminating Algorithmic Bias & Discrimination 05:17 - Five Principles of Responsible AI 08:27 - Explainability vs. AI as Black Boxes 10:40 - Components of Building AI Systems 12:49 - Specialization Areas in AI 14:08 - The Role of Mathematics in AI 16:56 - AI as a Socio-Technical System 18:13 - Connecting Applied Mathematics to AI & Tech 20:20 - Peeling the Layers of AI 22:24 - Preparing for the Future of Work & Encouragement for Nigerians 27:36 - Outro-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Dr. Michael Akinwumi: LinkedIn: https://www.linkedin.com/in/makinwumi/Connect with Tolulope Awoyomi: LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/ Twitter/X: https://x.com/TolulopeAwoyomi

How will artificial intelligence (AI) transform our world in the next 5 to 10 years? In this episode, I explore five major AI predictions, covering business, automation, society, and technology trends that will define the future.If you’re curious about AI’s future and how it will impact industries, this episode is for you!Chapter Timestamps: 00:00 - Intro 00:49 - Prediction #1 03:46 - Prediction #2 04:48 - Prediction #3 05:25 - Prediction #4 07:48 - Prediction #5 09:23 - Concluding Thoughts & Advice-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/ Twitter/X: https://x.com/TolulopeAwoyomi

In this engaging episode of "Everything AI and Law Podcast," I sit down with Brian Beckcom, a multifaceted expert who embodies the convergence of AI, law, computer science, and philosophy. This thought-provoking discussion explores the ethical, legal, and philosophical implications of AI’s role in society.Key Discussion Topics: Maintaining the Human Touch in the Age of AI – How AI challenges human interaction & preserving authenticity AI & Law: Ethical Considerations – The dilemmas of AI-powered legal decision-making Adapting to AI in the Legal Profession – How lawyers can evolve with AI-driven legal tools The Philosophy of AI – Understanding AI’s impact on human reasoning and moral decision-makingThis episode is a must-listen for legal professionals, technologists, ethicists, and AI enthusiasts seeking a deeper understanding of the intersection between AI, law, and philosophy.-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠------------------------- Connect with Brian Beckcom: LinkedIn: https://www.linkedin.com/in/brianbeckcom/Connect with Tolulope Awoyomi: LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/ Twitter/X: https://x.com/TolulopeAwoyomi

Welcome to an exciting episode where the lines between human intelligence and artificial intelligence are becoming increasingly blurred! In this unique session, I, Tolulope Awoyomi, sit down with my AI version to explore my personal journey, professional experiences, and the evolving role of AI at the intersection of law and technology.This is a must-watch for AI enthusiasts, legal tech professionals, and anyone fascinated by the future of AI-human interaction!Chapter Timestamps: 00:00 - Intro 00:06 - Question 1 01:15 - Question 2 01:33 - Question 3 03:10 - Question 4 03:44 - Question 5 04:29 - Question 6 06:41 - Question 7 08:20 - Question 8 09:24 - Question 9 10:01 - Question 10 10:35 - Question 11 11:23 - Question 12Don't Forget to Follow & Engage!If you enjoyed this AI-human conversation, hit the thumbs up, leave a comment, and share your thoughts! -------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Follow me on social media for more AI & Law insights: Twitter/X: https://x.com/TolulopeAwoyomi LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/

As AI-generated content becomes more prevalent, the legal landscape of copyright law is facing unprecedented challenges.In this episode, we analyze three major ongoing legal cases at the forefront of AI and intellectual property law. These cases are set to shape future legal frameworks, influencing how AI technologies interact with copyright protections.Key Discussion Points: Overview of Key AI Copyright Cases – Landmark lawsuits shaping IP law Legal Strategies & Rulings – How courts are handling AI-generated content AI’s Role in Copyright Infringement – Where AI challenges existing laws Intellectual Property Rights in the AI Era – What creators, businesses, and developers need to know Implications for the Future – How these cases will redefine copyright protectionsThis episode is essential for legal professionals, tech enthusiasts, and anyone interested in the intersection of AI, copyright, and intellectual property law!-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: Twitter/X: https://x.com/TolulopeAwoyomi LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/

In this special fireside chat, I sit down with Neil Serebryany, Founder of CalypsoAI, to explore the critical issues surrounding AI security, ethics, deepfakes, AGI, and legal challenges.Key Discussion Topics: How Secure is AI? – Examining risks and vulnerabilities AI Ethics & Regulation – Who decides how AI should operate? Balancing AI Safeguards vs. Innovation – Avoiding over-regulation Deepfakes & Human Voice Replication – The risks & real-world implications Artificial General Intelligence (AGI) – Are we getting closer? Avoiding AI-Driven Job Displacement – Practical career advice Legal Challenges of AI – What lawyers need to know Advice for AI Enthusiasts & Experts – How to navigate the future of AIThis episode is essential for AI professionals, cybersecurity experts, legal professionals, and anyone curious about the future of AI safety and ethics!Chapter Timestamps: 00:00 - Episode Intro 01:04 - Guest Intro 01:40 - About CalypsoAI & AI Security 04:09 - How Secure is AI? 05:16 - Who Builds AI Ethics? 06:09 - Safeguarding AI vs. Stifling Innovation 09:32 - Deepfakes & Replicable Human Voices 12:44 - How to Differentiate Deepfakes from Real Videos 15:30 - The Future of AI Technologies 18:22 - Artificial General Intelligence (AGI) – Are We Close? 20:46 - 5 Pieces of Advice to Avoid Job Displacement 22:59 - Legal Issues Associated with AI 23:32 - Advice for Lawyers Navigating AI Regulations 25:38 - Advice for AI Enthusiasts & Future AI Experts 26:28 - Closing Remarks-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: Twitter/X: https://x.com/TolulopeAwoyomi LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/

Deepfakes are one of the most concerning AI-driven technologies, blurring the lines between real and fake content. In this episode, I explore how deepfakes work, their risks, and ways to mitigate their impact.Key Discussion Topics: Understanding Deepfakes – How AI-generated media is created & its real-world implications The Threat of Deepfake Misinformation – Legal, social, and security concerns Deepfake Detection Methods – Tools and techniques to verify authenticity Regulations & Ethical Challenges – How lawmakers are addressing deepfakes How to Protect Yourself from Deepfakes – Steps for individuals and organizationsThis episode is essential for AI researchers, cybersecurity professionals, journalists, and anyone interested in media integrity and AI ethics.Chapter Timestamps: 00:00 - Understanding Deepfakes & Their Implications 05:01 - Mitigations & Solutions for Deepfakes-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: Twitter/X: https://x.com/TolulopeAwoyomi LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/

Artificial Intelligence (AI) is reshaping the legal industry, bringing both opportunities and challenges. In this thought-provoking fireside chat, I sit down with Maureen Murat to explore the future of AI and law, discussing regulation, job security, and ethical considerations.Key Discussion Topics: Legal Issues in AI Technology – How AI is challenging traditional legal frameworks Regulating AI – Striking the right balance between innovation & ethics AI & Job Displacement – Should lawyers be concerned about AI taking over? AI’s Role in Legal Education & Practice – How AI is transforming the legal profession AI & Lawyer Salaries – Will AI impact how much legal professionals earn The Future of AI & Law – What’s next for the legal industry?If you’re a legal professional, tech enthusiast, or curious about the intersection of AI and law, this episode is for you!Chapter Timestamps: 00:00 - Introduction & Background 03:12 - Legal Issues with AI Technology 06:36 - Regulating AI: Balancing Innovation & Ethics 09:47 - Concerns About AI Taking Jobs 13:30 - AI’s Impact on the Legal Profession & Education 16:09 - Will AI Affect Lawyer Paychecks? 18:09 - Final Thoughts 19:56 - Closing Remarks-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Maureen Murat: Linkedin: https://www.linkedin.com/in/maureen-l-murat-esq/Connect with Tolulope Awoyomi: Twitter/X: https://x.com/TolulopeAwoyomi LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/

AI is evolving faster than ever, and in this episode, I cover the biggest AI news & developments shaping the future.Key AI Topics Covered: EU AI Act – How Europe's AI regulation will impact global AI governance First UN AI Resolution – A historic move toward international AI regulation Elon Musk vs. OpenAI Lawsuit – The legal battle over OpenAI’s direction & profit motives SaulLM-7B – A specialized Large Language Model (LLM) designed for the legal industry Figure 01 – OpenAI’s humanoid robot bringing AI to the physical world Devin AI – The world’s first AI software engineer & its implications for coding jobs Personal Take – My thoughts on these major AI trendsIf you're an AI enthusiast, legal professional, or tech innovator, this episode is packed with insights you won’t want to miss!Chapter Timestamps: 00:00 - Introduction 00:26 - EU AI Act Explained 03:05 - First UN AI Resolution: Global AI Governance 03:56 - Elon Musk’s Lawsuit Against OpenAI 05:30 - SaulLM-7B: AI for Legal Applications 07:15 - Figure 01: OpenAI’s ChatGPT-Powered Robot 08:31 - Devin AI: The World’s First AI Software Engineer 09:11 - My Thoughts on AI’s Rapid Advancements 11:12 - Conclusion & Closing Remarks-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: Twitter/X: https://x.com/TolulopeAwoyomi LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/

The European Union AI Act is the first comprehensive legal framework for regulating artificial intelligence. In this episode, I break down the key components of the Act, including AI risk classifications, prohibited systems, obligations, and implementation timelines.Key Topics Covered: Classification of AI by Risk Levels – How the EU regulates AI based on potential harm Prohibited AI Systems – AI technologies that are banned under the Act High-Risk AI Systems – AI applications with strict compliance requirements General Purpose AI (GPAI) – Understanding its regulatory impact Obligations & Applicability – Who must comply with the AI Act? Exempted Areas – AI systems not covered under the regulation Implementation Timeline – When will the EU AI Act take full effect?This episode is essential for legal professionals, AI developers, business leaders, and anyone interested in AI governance and compliance.Chapter Timestamps: 00:00 - Introduction 00:16 - Classification of AI by Risk Levels 00:49 - Prohibited AI Systems 01:36 - High-Risk AI Systems 03:06 - General Purpose AI (GPAI) 03:58 - Obligations & Applicability 05:12 - Exempted Areas 05:57 - Implementation Timeline-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: Twitter/X: https://x.com/TolulopeAwoyomi LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/

As Artificial Intelligence (AI) advances, it raises complex legal questions spanning intellectual property, privacy, discrimination, and accountability. In this episode, I explore key legal concerns associated with AI, providing valuable insights for legal professionals, policymakers, and AI developers.Key Legal Issues Discussed: Data & AI – Ownership, access, and compliance with data laws Copyright, Intellectual Property & Trademark – Who owns AI-generated content? Privacy & AI – How AI affects data protection and surveillance laws Trade Secrets & AI – Protecting proprietary AI models & data Bias & Discrimination in AI – Legal frameworks addressing fairness in AI Transparency, Fairness & Accountability – Holding AI systems responsible Negligence & AI Liability – Who is responsible when AI makes a mistake Conflict of Laws – Cross-border AI regulations and jurisdictional challenges Further Exploration – Referencing my research paper on AI legal issues (available on Google)This episode is essential for lawyers, tech policymakers, AI developers, and anyone navigating the legal landscape of AI.Chapter Timestamps: 00:00 - Podcast Aim & Episode Introduction 00:41 - Legal Issues Associated with AI 00:45 - Data & AI⏱ 01:26 - Copyright, Intellectual Property & Trademark 02:21 - Privacy & AI Regulation 03:03 - Trade Secrets & AI Ownership 03:52 - Discrimination & Bias in AI 04:39 - Transparency, Fairness & Accountability 05:26 - AI Negligence & Legal Liability 05:57 - Conflict of Laws in AI Governance 06:19 - Further Exploration (Refer to My Paper on This Topic) 06:36 - Subscribe & Follow for Future Episodes-------------------------Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠-------------------------Connect with Tolulope Awoyomi: Twitter/X: -https://x.com/TolulopeAwoyomi LinkedIn: - https://www.linkedin.com/in/tolulope-awoyomi/