Catch Ambassador Narek Mkrtchyan joins Sanjay Puri on the Regulating AI Podcast to discuss Armenia's AI strategy, the US-Armenia semiconductor partnership, and what small nations can teach the world about governing AI.

In this episode, Sanjay Puri speaks with André Franqueira Rodrigues about the rise of AI-driven misinformation, the strengths and gaps in the EU AI Act, and the growing global competition between the US, China, and Europe to shape AI governance.

They also explore how regulation can protect farmers and fisheries, and why this technological shift may outpace anything we’ve seen before.

In this episode, Sanjay Puri speaks with Oby Ezekwesili and Anja Manov on the global stakes of AI—from the agency divide and Africa’s informal economy to gendered job loss and AI in national security.

A powerful conversation on who benefits, who gets left behind, and what responsible AI governance should look like.

From data sovereignty and infrastructure challenges to AI in housing, mobility, and energy, they explore how municipalities worldwide are navigating power, policy, and implementation.

A sharp look at why the future of responsible AI will be shaped not just globally—but on city streets.

From factory floors to global policy, Löfven shares insights on AI’s impact on jobs, the concentration of power, risks like autonomous weapons, and the urgent need for trust-led, multilateral cooperation.

A powerful conversation on shaping AI that works for everyone—not just a few.

In this episode, Raju Narisetti—former senior editor at The Wall Street Journal and The Washington Post, founding editor of Mint, and Partner at McKinsey—breaks down how AI is transforming newsrooms, the collapse of traditional business models, and the growing tension between platforms and editorial independence.

A sharp, insider perspective on trust, misinformation, and what the next generation of journalists must navigate.

The conversation examines the rise of *Sovereign AI, the role of **public–private partnerships in accelerating innovation, and the urgent need for **AI skilling and workforce transformation* to build a future-ready talent ecosystem.

From policy and strategy to real-world implementation, the discussion looks at how governments, enterprises, academia, and innovators can work together to unlock AI’s full potential responsibly. 🎙️

Live from the AI Impact Summit India, this episode of Regulating AI features Dr. Ravi Pendse, Vice President for IT & CIO at the University of Michigan.

He shares how institutions can deploy AI at scale — responsibly, securely, and with people at the center — reminding us that AI adoption isn’t a technology challenge, but a human one.

When we regulate AI, who are we protecting — and who might we be leaving behind?

Tune in.

Whose rules will govern the future of artificial intelligence?

Tune in.

With leadership roles at The Wall Street Journal and The Washington Post, and now as a Partner at McKinsey, Raju brings a rare perspective on how media is evolving in the age of AI, digital platforms, and declining public trust.

In this episode, we unpack the structural transformation of news, the economics of attention, and what responsible media leadership looks like today.

They explore the evolution of AI — from machine learning to generative AI and AI agents — and why the Global South has a critical role in shaping AI governance. From sovereign AI and open source to jobs, gender impact, and the global AI skills gap, this is a sharp, global perspective on where AI is headed.

In this special episode of RegulatingAI, Sanjay Puri sits down with Congressman Brian Poe, architect of the Philippines’ AI Framework Bill (House Bill 1196). Rather than racing to overregulate, the country is taking a bold “early adopter” approach—balancing innovation, workforce transformation, and smart governance.

From AI sandboxes and startup incentives to protecting local dialects and reshaping the BPO workforce, this conversation reveals how a 120M-strong nation is writing its AI future in real time.

If you care about global AI policy, emerging markets, or the future of responsible innovation—don’t miss this one.

Moderated by Sanjay Puri, the panel—Dr. Jess Conser, Dr. Clara Guerra, Brando Benifei (Member of the European Parliament), and Combiz Abdolrahimi (ServiceNow)—explores how democratic societies can govern AI amid geopolitical fragmentation, and what it takes to move from principles to real-world implementation.

From public–private collaboration to AI literacy and execution at scale, this conversation unpacks what responsible AI governance requires in 2026—and why getting it right is essential for innovation, trust, and democracy.

He shares how India is building a full-stack AI ecosystem, democratizing access to AI, and bringing Global South leadership into the future of AI governance.



In this episode of Regulating AI, Dr. James H. Dickerson, Director at ASCET, explains how technical standards shape governance, compliance, and policy long before laws are enforced. A must-listen for leaders navigating responsible and regulated AI.

In this episode of Regulating AI, he unpacks why self-regulation fails, why data quality still defines AI outcomes, and how states are stepping in where federal policy has stalled. We also explore how unchecked wealth concentration and weak oversight threaten democracy in the age of AI. A must-listen conversation on what real accountability in AI governance should look like.

At the ASEAN platform, Sanjay Puri, Founder & Chairperson, sits down with U.S. Congressman Jay Obernolte to discuss the evolving landscape of AI governance, AI policy, and international collaboration.

This insightful conversation explores:

• The future of AI regulation and governance
• How governments can balance innovation and responsibility
• The role of ASEAN and global partnerships in shaping AI policy
• The importance of ethical, transparent, and inclusive AI frameworks

📌 Watch the full discussion to understand how policymakers and industry leaders are working together to shape the future of AI.

Camille is directly involved in landmark lawsuits against CharacterAI and OpenAI CEO Sam Altman, placing her at the forefront of debates around AI accountability, AI companions, and platform liability. 

This conversation examines the mental-health risks of AI chatbots, the rise of AI companions, and why certain conversational systems may pose public-health concerns, especially for younger and socially isolated users. Camille also breaks down how AI governance frameworks differ across U.S. states, Congress, and the EU AI Act, and outlines what practical, enforceable AI policy could look like in the years ahead. 

Key Takeaways 

AI Chatbots as a Public-Health Risk 

Why AI companions may intensify loneliness, emotional dependency, and psychological harm—raising urgent mental-health and safety concerns. 

Regulating Chatbots vs. Foundation Models 

Why high-risk conversational AI systems require different regulatory treatment than general-purpose LLMs and foundation models. 

Global AI Governance Lessons 

What the EU AI Act, U.S. states, and Congress can learn from each other when designing balanced, risk-based AI regulation. 

Transparency, Design & Accountability 

How a light-touch but firm AI policy approach can improve transparency, platform accountability, and data access without slowing innovation. 

Why AI Personhood Is a Dangerous Idea 

How framing AI systems as “persons” undermines liability, weakens accountability, and complicates enforcement. 

Subscribe to Regulating AI for expert conversations on AI governance, responsible AI, technology policy, and the future of regulation. 

#RegulatingAIpodcast #camillecarlton #AIGovernance #ChatbotSafety #Knowledgenetworks  

#AICompanions  

Resources Mentioned: 

https://www.linkedin.com/in/camille-carlton  

https://www.humanetech.com/  

https://www.humanetech.com/substack 

https://www.humanetech.com/podcast 

https://www.humanetech.com/landing/the-ai-dilemma  

https://centerforhumanetechnology.substack.com/p/ai-product-liability 

https://www.humanetech.com/case-study/policy-in-action-strategic-litigation-that-helps-govern-ai 

With a career that spans music, psychology, and digital innovation, Karin shares how she’s building privacy-first AI tools designed to make mental health support accessible — especially for teens navigating loneliness and emotional stress. 

Together, they unpack the delicate balance between AI innovation and human empathy, the ethics of AI chatbots for youth, and what it really takes to design technology that heals instead of harms. 

Key Takeaways: 

• AI and Empathy: Why emotional intelligence—not algorithms—must guide the future of mental health tech. 

• Teens and Trust: How technology exploits belonging, and what must change to rebuild digital trust. 

• Regulating Responsibly: Why the answer isn’t bans, but thoughtful, transparent policy shaped with youth input. 

• Privacy by Design: How ethical AI can protect privacy without compromising impact. 

• Bridging the Global Mental Health Gap: Why collaboration and compassion matter as much as code. 

If this conversation made you rethink the relationship between AI and mental health, hit like, share, and subscribe to RegulatingAI for more insights on building technology that serves humanity. 

Resources Mentioned: 

https://www.linkedin.com/in/karinstephan/ 

Key Takeaways: 

• AI Governance: Why collaboration across business, legal, and compliance is the foundation of effective AI oversight. 
• Human-in-the-Loop: Morgan Stanley’s core principle—keeping humans accountable and central in every AI decision. 
• Education First: Jeff’s golden rule—spend 90% of your AI budget training people before building tech. 
• AI as a Risk Mitigator: How AI can actually strengthen compliance and risk management when designed right. 
• Culture Over Code: Why successful AI transformation is less about algorithms and more about mindset, structure, and leadership. 

If you enjoyed this conversation, don’t forget to like, share, and subscribe to RegulatingAI for more insights from global leaders shaping the future of responsible AI. 

#RegulatingAI #SanjayPuri #MorganStanley #JeffMcmillan #AIGovernance #AILeadership #EnterpriseAI 

Resources Mentioned: 

https://www.linkedin.com/in/jeff-mcmillan-bb8b0a5/  

Recent Podcast 

https://podcasts.apple.com/fr/podcast/jeff-mcmillan-how-morgan-stanley-deploys-ai-at-scale/id1819622546?i=1000714786849  

Morgan Stanley External Facing Website sharing some of the work we are doing on AI  

https://www.morganstanley.com/about-us/technology/artificial-intelligence-firmwide-team 

As President Donald Trump’s new AI executive order pushes for federal control over AI regulation, Senator Wiener explains why states like California must retain the power to regulate artificial intelligence — and how California’s laws could influence global AI governance. 

Senator Wiener is the author of: 

 • SB 1047 – California’s proposed liability bill for high-risk AI systems 

 • SB 53 – California’s new AI transparency law, now in effect 

We dive deep into: 

 • The battle between federal vs. state AI regulation 

 • Why California remains the frontline of AI governance 

 • The real impact of Trump’s AI executive order 

 • Growing risks of AI-driven job displacement 

 • How governments can balance innovation with public safety 

 • The future of responsible and accountable AI development 

🔑 KEY TAKEAWAYS 

1. California’s Policy Power 

 California’s tech dominance allows it to shape national and global AI standards even when Congress stalls. 

2. SB 1047 vs. SB 53 Explained 

 SB 1047 proposed legal liability for dangerous AI systems, while SB 53 — now law — requires AI companies to publicly disclose safety and risk practices. 

3. Why Transparency Won 

 After SB 1047 was vetoed, California shifted toward transparency as a regulatory first step through SB 53. 

4. AI Job Disruption Is Accelerating 

 Senator Wiener warns that workforce displacement from AI is happening faster than expected. 

5. A Realistic Middle Path 

 He advocates for smart AI guardrails — avoiding both overregulation and total deregulation. 

If you found this conversation valuable, don’t forget to like, subscribe, and share to stay updated on global conversations shaping the future of AI governance. 

Resources Mentioned: 

https://www.linkedin.com/company/ascet-center-of-excellence  

https://www.linkedin.com/in/james-h-dickerson-phd   

From finding the right balance between innovation and regulation to making sure AI truly benefits workers and small businesses, Rep. McBride shares her human-centered vision for how AI can advance democracy, fairness, and opportunity for everyone. 

Here are 5 key takeaways from the conversation: 

💡 Finding the “Goldilocks” Zone: How to strike that just-right balance where AI regulation protects people without holding back innovation. 

🏛️ Federal vs. State Regulation: Why McBride believes the U.S. needs a unified national AI framework — but one that still values state leadership and flexibility. 

👩‍💻 AI and the Workforce: What policymakers can do to make sure AI augments human talent rather than replacing it. 

🌎 Democracy vs. Authoritarianism: The U.S.’s role in leading with values and shaping AI that reflects openness, ethics, and democracy. 

🔔 Delaware’s Legacy of Innovation: How Delaware’s collaborative approach to growth can be a model for responsible tech leadership. 

If you enjoyed this episode, don’t forget to like, comment, share, and subscribe to RegulatingAI for more conversations with global policymakers shaping the future of artificial intelligence. 

Resources Mentioned: 

mcbride.house.gov  

https://mcbride.house.gov/about 

In this episode, I sit down with Armenia's Minister of Finance to discuss:

~ Why Nvidia is building a massive AI factory in Armenia

~ How a country of 3 million is attracting Synopsis, Yandex, and major tech companies

~ The secret advantage: abundant energy + Soviet-era engineering talent

~ Is the AI investment boom a bubble or the real deal?

~ How AI is already being used in tax collection and government services

~ The peace agreement with Azerbaijan and what it means for tech investment

~ Why the "Middle Corridor" could make Armenia the next tech destination

The Minister doesn't think AI investment is a bubble—he thinks we're just getting started. He shares honest insights about job displacement, efficiency gains, and why human connection still matters in an AI-driven world.

About the Guest:

Armenia's Minister of Finance is an economist who rose from bank accounting to leading the nation's fiscal policy. He oversees Armenia's economic transformation during a pivotal era of digital ambitions and AI development.

🎙️ Subscribe for conversations with global leaders at the intersection of AI, policy, and innovation

💬 Leave a comment: What surprised you most about Armenia's AI strategy?

🔔 Hit the bell to catch our next episode

5 Key Takeaways 

• Why massive global science collaborations like ITER offer lessons for AI governance. 
• The case for a UN-backed International AI Agency to coordinate regulation. 
• How U.S.–China cooperation could unlock a global framework for AI oversight. 
• The risks of leaving governance solely to fragmented national initiatives and big tech. 
• Why timing, leadership, and inclusivity (including the Global South) are critical to shaping AI’s future. 

If you found this conversation insightful, don’t forget to like, comment, and share — and subscribe to RegulatingAI for more global perspectives on building a trustworthy AI future. 

Resources Mentioned: 

https://iaia4life.org/  

https://www.linkedin.com/in/mark-robinson-3594132b/ 

From data sovereignty to the “brain drain” challenge, we explore what responsible AI looks like for Africa—and how regulation can drive innovation, not restrict it.

Resources Mentioned:

https://www.linkedin.com/in/nickbradshaw/

5 Key Takeaways: 

• AI as a Tool, Not Destiny: Governor Meyer emphasizes that AI’s value lies in how it improves lives—not in the technology itself. 
• First to Value, Not First to Hype: Delaware is piloting and scaling AI responsibly, ensuring guardrails before mass adoption. 
• Workforce First: With OpenAI certification programs, Delaware is leading in preparing workers and students for the AI-powered economy. 
• Balancing Innovation & Regulation: The state’s AI sandbox offers a safe testbed for companies to experiment responsibly. 
• Protecting Democracy & People: From tackling election deepfakes to ensuring job transitions, Meyer highlights human-centered governance. 

If you found this conversation insightful, don’t forget to like, comment, share, and subscribe to the RegulatingAI Podcast for more expert perspectives on the future of AI. 

Resources Mentioned: 

https://www.linkedin.com/company/governor-delaware-matt-meyer/  

https://governor.delaware.gov/ 

https://news.delaware.gov/2025/07/23/delaware-launches-bold-ai-sandbox-initiative-cementing-its-role-as-a-national-leader-in-responsible-tech-innovation/ 

https://news.delaware.gov/2025/09/04/delaware-first-state-in-the-nation-to-partner-with-openai-on-certification-program/  

You’ll learn: 

• Why AI-generated CSAM (child sexual abuse material) presents unprecedented risks 
• How Nebraska passed LB 383 to prohibit AI-generated CSAM 
• The challenges of prosecuting AI crimes compared to traditional crimes 
• Why bipartisan coalitions matter in AI governance 
• How innovation and child protection can coexist in law and policy 

Hilgers also shares his perspective on the U.S.–China AI race and why legal frameworks must adapt to fast-moving technologies. 

Resources Mentioned: 

https://www.linkedin.com/company/nebraska-department-of-justice 

Key discussion points: 

• Why AI diplomacy must evolve to operate at machine speed 
• The concept of “quantum diplomacy” and treaties that self-update 
• The role of coders and open-source communities as new diplomats 
• Why AI should be treated as critical infrastructure, not just a product 
• How collaborative velocity can drive equity between the Global North and South 

Watch now for a deep exploration of AI’s role in diplomacy and the urgent need for systemic, global cooperation. 

Resources Mentioned: 

https://www.linkedin.com/in/rpgduarte 

Brando shares deep insights into the challenges of implementation, balancing transparency with intellectual property, and safeguarding freedoms in a rapidly evolving AI landscape. 

Key highlights include: 

• The role of transparency and auditability in AI governance 
• Proportional fines and their impact on SMEs versus Big Tech 
• Why certain AI practices, like predictive policing and mass surveillance, are prohibited 
• How the EU AI Act integrates with global governance efforts 
• The importance of education, sandboxes, and support for SMEs 

🔗 Watch now to understand how Europe is shaping AI regulation—and what it means for the world. 

Resources Mentioned: 

https://en.wikipedia.org/wiki/Brando_Benifei 

https://www.europarl.europa.eu/meps/en/124867/BRANDO_BENIFEI/home 

In this compelling episode, host Sanjay Puri sits down with Tomas Lamanauskas, Deputy Secretary-General of the International Telecommunication Union (ITU), to explore the global architecture of AI governance. 

🔍 What you’ll learn: 

• How ITU transitioned from regulating telegraphs to AI governance 
• Why AI standardization is not a barrier to innovation 
• The ITU’s pivotal role in connecting 8 billion people 
• The balance between innovation, regulation, and inclusion 
• Behind-the-scenes of the AI for Good Global Summit 

🌍 A must-watch for: 

• Policymakers and AI regulators 
• Tech entrepreneurs and infrastructure investors 
• Anyone who cares about global equity in the age of AI 

Subscribe for future episodes diving deep into global AI governance. 

Resources Mentioned: 

https://www.linkedin.com/in/tlamanauskas/ 

https://www.itu.int/en/osg/Pages/biography-itu-dsg-tomas.aspx 

⏱️ Timestamps: 

0:00 Podcast Highlights & Introduction  

2:00 What is the ITU and its role in AI regulation?  

2:45 From telegraph to AI: A history of the ITU  

8:42 Standardizing AI in a rapidly moving world  

14:03 The ITU's role in enforcing standards  

18:51 Three approaches to AI governance: EU, US, and China  

25:01 Geopolitics and national security in AI  

30:24 The importance of undersea cables  

34:41 Ensuring AI benefits everyone and bridging the digital divide  

43:21 The AI for Good Global Summit  

48:28 Conclusion and farewell 

Topics Covered: 

• How Mastercard has used AI for 20+ years in fraud prevention & personalization 
• The role of agentic AI in customer service & commerce 
• Why trust and security must guide AI innovation 
• Frameworks for responsible AI & governance across global markets 

Subscribe for more insights from AI leaders shaping the future. 

Resources Mentioned: 

https://www.linkedin.com/in/andrew-reiskind-53a743/ 

Key topics include: 

• How Australia’s largest police force used AI to profile Indigenous youth 
• The consequences of using historical data without correcting historical bias 
• Why system-level harms from AI demand policy-level responses 
• What governments must do to protect rights while embracing innovation 

A sobering and essential conversation about AI, justice, and what ethical governance looks like in practice. 

Resources Mentioned: 

https://www.linkedin.com/in/esantow/ 

⏱️ Timestamps: 

0:00 Podcast Highlights  

1:34 Ed’s background and journey into technology governance  

2:12 The 'aha' moment: an algorithm targeting young people based on race  

5:36 Finding a balance between AI's dystopian problems and positive use cases  

9:07 The global fear of missing out (FOMO) and the trade-off with fundamental rights  

11:12 Why innovation and regulation are not a trade-off  

12:22 Comparing the AI regulatory approaches of the EU, US, and China  

13:57 Australia's practical, non-ideological approach to AI  

15:45 How Australia is building its niche on liberal democratic values  

19:22 The shift from "fluffy principles" to practical AI safety standards  

22:37 The three most common issues for corporate leaders in AI governance  

23:08 The problem with the "AI guru" model of governance  

25:08 The "dirty secret" of AI and the importance of engaging workers  

35:24 The impact of AI on jobs and the workplace  

40:28 The Asia-Pacific region's role in AI governance  

44:07 Preserving indigenous cultures and languages in AI training data  

47:14 The concentration of power in a handful of AI companies  

50:09 Facial recognition: good uses vs. bad uses  

53:57 Lightning round of questions  

55:22 Conclusion and farewell 

🔍 What you'll learn: 

• Why Pillar One of the U.S. plan may spark global misalignment 
• The risks of removing "misinformation" from AI frameworks 
• Why U.S. innovation might clash with the EU AI Act and global regulatory norms 
• How free speech and foundation models intersect with international policy 

🌍 Global policymakers, this one is for you. 

🎯 Watch now to understand why the latest U.S. move could raise alarms worldwide. 

Resources Mentioned: 

https://www.linkedin.com/in/cari-miller/ 

⏱️ Timestamps: 

0:00 Introduction of Dr. Cari Miller  

2:52 The three pillars of America's AI Action Plan  

7:20 Comparing the AI Action Plan to the EU AI Act  

8:27 "Hurry up and innovate" and the geopolitical dimension of AI  

10:45 The dilemma between innovation and regulation  

13:09 The moratorium on state-level AI regulation  

15:50 A spectrum for regulation: reversible vs. irreversible harm  

17:17 The EU's approach to regulation  

19:10 Why AI procurement is the "gate of all gates" for governance  

21:27 What makes AI procurement different  

23:32 The need for augmented procurement practices and training  

24:14 Accounting for hallucination and vendor disclaimers  

27:55 Procurement for foundation models vs. fine-tuned solutions  

29:39 The possibility of AI insurance  

31:02 Distinguishing between trustworthy and "AI snake oil" vendors  

33:23 Strengths and weaknesses of existing AI procurement frameworks 35:26 The three checkpoints before issuing an AI RFP  

37:41 Sovereign AI and procurement for global south nations  

40:20 Concerns about agents and agentic AI systems  

44:02 The domain professional and complex multi-turn tasks  

45:59 Procurement and pricing models for AI agents  

49:00 The maturity of agents and the role of CISOs  

52:35 Liability and governance for autonomous agents  

55:33 The use of synthetic data: benefits and risks  

58:50 Lightning round of questions  

1:01:53 Concluding remarks  

📌 Topics Covered:

~ The EU AI Act’s categorisation of risk – does it go far enough?

~ The collision between data sovereignty, latency, and user rights

~ Why current legal remedies like GDPR aren't enough for generative AI

~ Does the Brussels effect stand a chance against the Washington effect?

~ Will national courts lose relevance in the age of EU digital regulation?

~ Raquel's legal insight warns of a quiet constitutional revolution underway and why citizen protection must evolve urgently.

🎧 Watch Now: This conversation is vital for anyone navigating AI governance in democratic societies.

Resources Mentioned:

https://www.linkedin.com/in/raquel-a-br%C3%ADzida-castro-15317a105/

⏱️ Timestamps:

0:00 Introduction to the podcast and guest, Raquel Brízida Castro

2:21 Magnificent Introduction

2:58 The EU AI Act from a Constitutional Law Perspective

3:20 Constitutional Challenges and the Digital Social Democratic Rule of Law

5:59 New Fundamental Rights in the AI Age

8:27 The Right to Explainability: Rule of Law vs. Rule of Algorithm

11:34 Is the EU AI Act's Risk-Based Approach Adequate?

12:05 The Impact of AI on Fundamental Rights

14:52 Regulation vs. Bureaucracy and Self-Regulation

16:26 The Implementation of the AI Act and its Challenges

21:58 The EU vs. US Approach: Regulation vs. Innovation

23:55 The False Dilemma Between Regulating and Innovation

27:09 The Washington Effect

30:51 Implications for American Companies in Europe

31:49 Digital Sovereignty and the Problem of Latency

35:28 Constitutional Safeguards and Regulatory Overreach

35:40 The Primacy of European Law and the Role of Constitutional Courts

38:58 The Two-Year Moratorium on the EU Act

40:30 Lightning Round of Questions

43:24 Final thoughts

In this episode of the RegulatingAI Podcast, we sit down with Joshua Geltzer, who advised President Biden, to discuss the details behind America's new AI Action Plan. This is the definitive breakdown every tech executive, investor, and policymaker need to watch. 

🎯 CRITICAL TAKEAWAYS: 

• Why some states may LOSE federal AI funding  
• How fair use laws could save AI companies billions  
• The infrastructure revolution coming to your state  
• Export control politics that will reshape global tech  
• Why Trump chose to back open source 

About the Guest: Joshua Geltzer is a partner at Wilmer Hale focusing on AI, cybersecurity, and national security litigation. Until January 2025, he served as Deputy Assistant to the President, Deputy White House Counsel, and Legal Adviser to the National Security Council. 

Resources Mentioned: 

https://www.linkedin.com/in/joshua-geltzer-6209b3198/ 

https://www.wilmerhale.com/en/people/joshua-geltzer 

⏱️ Timestamps: 

0:00 Introduction to the podcast and guest Joshua Geltzer  

4:29 Welcome to Regulating AI: The Podcast  

5:44 The Three Pillars of the AI Action Plan  

6:37 Fair Use, Training Data, and the Courts  

8:17 Power, Land, and Permitting for Data Centers  

10:19 Countering Synthetic Media and Deepfakes  

11:45 The Effectiveness and Limitations of Export Controls  

13:39 Leading International AI Governance While Prioritizing National Dominance  

15:28 Federal-State Dynamics in AI Governance  

19:00 The Open Source vs. Closed Model Debate  

20:45 The Competitive Framing with China and National Security  

22:54 Global AI Regulation and the Future  

23:41 Concluding the discussion 

What you’ll learn: 

• Why Rob believes America’s AI systems are already under attack 
• How adversaries are leveraging generative AI without regulatory constraints 
• Why current cybersecurity approaches are inadequate for AI-based threats 
• The challenge of balancing speed with safety in federal AI deployments 
• Insights into critical gaps in open-source model evaluations 

This conversation is a wake-up call for regulators, enterprise leaders, and anyone navigating AI implementation at scale. 

Resources Mentioned: 

Rob T. Lee, Chief of Research and Chief AI Officer, SANS Institute 

https://www.linkedin.com/in/leerob/ 

Substack: https://robtlee73.substack.com/  

X: https://x.com/robtlee  

YouTube: https://www.youtube.com/@RobLee96 

Together, they dive deep into the transformative power of artificial intelligence in addressing some of the world’s most pressing health challenges. From improving disease surveillance and accelerating vaccine delivery to enhancing decision-making in underserved regions, this discussion highlights the real-world impact and ethical considerations of AI in global health. 

Key topics covered: 

• How AI is being applied to strengthen health systems globally 
• Real-life examples of AI driving change in low- and middle-income countries 
• The role of public-private partnerships in scaling AI for health 
• Challenges around data, equity, and governance in AI adoption 

Whether you're a policymaker, health professional, technologist, or simply interested in how AI can serve humanity, this conversation offers critical insights and bold visions for the future. 

🔔 Don’t forget to like, comment, and subscribe for more discussions at the intersection of technology and social impact. 

#AIforGood #GlobalHealth #PeterSands #SaniaNishtar 

Resources Mentioned: 

https://www.linkedin.com/in/sania-nishtar-bb2a8123a 

https://www.linkedin.com/in/peter-sands-0808bb6b 

🔍 Key topics discussed: 

• The origin and growth of AI for Good 
• Why AI for Good is more than just a summit—it’s a year-round platform 
• Building community and capacity through inclusivity and innovation 
• Engaging youth, startups, governments, and NGOs alike 
• AI for Good’s partnerships with 53 UN sister agencies 

🧠 Whether you're in policy, tech, education, or just AI-curious, this episode will show how AI can be a force for equity and progress. 

📢 Subscribe for more deep dives into AI policy, governance, and innovation. 

Resources Mentioned: 

https://www.linkedin.com/groups/8567748/  

https://x.com/FredericWerner  

https://www.linkedin.com/in/fredericwerner/ 

💡 You’ll learn:

· What agentic AI is and why it changes enterprise workflows

· Why AI agents should always augment—not replace—humans

· The role of internal governance, "job descriptions" for agents, and ethical oversight

· Why shared responsibility will define AI liability in the future

· How Salesforce integrates safety, trust, and innovation into every layer of its AI stack

📌 A rare look into how one of the world’s most respected tech companies handles AI governance.

#AIgovernance #AgenticAI #RegulatingAI

Resources Mentioned:

https://www.linkedin.com/in/eric-loeb-33a86b/

In this episode: 

• How generative AI is transforming drug discovery timelines and cost 
• Real-world examples of AI identifying age-reversing molecules 
• The future of age-resetting gene therapies 
• Why Sinclair believes AI labs can now function like pharma companies 
• The urgent need for regulatory reform to accelerate innovation 

📣 Support Sinclair’s research: friendsofsinclairlab.org 

Know our guest: https://davidasinclair.com/  

Read his book at: https://www.amazon.com/dp/0008380325 

Listen to his podcast: http://www.youtube.com/@LifespanOfficial 

Resources Mentioned: 

https://www.linkedin.com/in/hovig-etyemezian-9b33994/ 

💥 In this episode: 

• Why saying "I have a master’s in AI" means nothing without recognized standards 
• The importance of grit, resilience, and doing the hard things in education 
• Why certifications—not degrees—are the future of AI talent validation 
• How IEEE's 141-year history positions it to shape tomorrow’s ethical AI 
• What it means to "advance technology for humanity" in a rapidly shifting workforce 

This is a call to rethink how we educate, certify, and empower the next generation of AI leaders. 

🎙️ Real talk. Real insight. Only on RegulatingAI. 

Resources Mentioned: 

https://www.ieee.org/kathleen-a-kramer  

https://www.linkedin.com/company/ieee/posts/?feedView=all  

https://www.facebook.com/IEEE.org 

🎯 Key Takeaways: 

• How UNHCR uses AI to process refugee feedback at scale 
• Why chatbots, messaging apps, and call centers are critical digital tools 
• The balance between automation and “human in the loop” care 
• Refugee-led innovation programs and grassroots solutions 
• Ethical safeguards and the importance of not “parachuting” tech solutions 

💬 A conversation that humanizes AI and shows how responsible innovation can restore dignity to displaced communities. 

Resources Mentioned: 

https://www.linkedin.com/in/hovig-etyemezian-9b33994/ 

✅ Topics covered: 

• The “original sin” of AI companies and scraped content 
• How The Atlantic is navigating AI disruption in publishing 
• Legal and ethical paths forward: lawsuits, licensing, and collaboration 
• Why Thompson thinks AI companies should drive traffic to journalism 
• A peek into The Atlantic's deal with OpenAI 

🔍 Nicholas shares candid takes on balancing innovation and fairness and what the future might look like if we don’t course correct. 

Resources Mentioned: 

https://www.linkedin.com/in/nicholasxthompson/ 

⏱️ Timestamps: 

00:00 - Podcast Highlights 

02:56 - The "Original Sin" of AI Companies - Data Scraping & Compensation 

05:04 - Media vs AI Companies: Finding Fair Value Exchange 

08:19 - Recent Court Rulings: Anthropic & Meta Cases Analysis 

12:19 - The Future of Search & Web Architecture 

16:45 - Generational Impact: How Young People Consume Information 

17:47 - Federal vs State AI Regulation Debate 

21:47 - What AI Developers Actually Want from Regulation 

22:05 - EU AI Act: Over-regulation Concerns 

23:45 - Open Source vs Closed Source AI Models 

24:43 - China's Open Source AI Strategy & US-China Relations 

26:19 - Chip Export Restrictions: Effectiveness & Consequences 

28:41 - US-China AI Cooperation Needs 

29:08 - The "Job Apocalypse" Debate: Dario vs Jensen 

32:48 - Government Role in AI Transition & Retraining 

34:43 - The "First Rung" Problem: Entry-Level Jobs at Risk 

35:51 - AI Medical Diagnosis: Outperforming Human Doctors 

39:07 - AI Companionship: Solution or Danger for Loneliness? 

41:10 - The "Westworld" Risk: AI-Powered Social Media Dystopia 

42:46 - Key AI Thinkers: Audrey Tang & The Vatican's AI Paper 

44:59 - Lightning Round: Quick Takes on AI's Future 

🔍 Key Takeaways: 

• How AI can both empower and threaten democratic institutions 
• The risk of obscured accountability in automated decision-making 
• Why explainability and auditability must be embedded into governance frameworks 
• Roberta’s firsthand experience in digitizing Milan’s public services 

With insights from her roles at Microsoft, Italian government, and academia, Roberta argues that “AI should never replace human responsibility—it should enable it.” 

🎧 Essential listening for policymakers, civic technologists, and digital ethicists. 

Resources Mentioned: 

https://www.linkedin.com/in/robertacocco/ 

We’re excited to be part of the global conversation on the future of artificial intelligence! Don’t miss the chance to connect with us at Booth 4282, where we’ll be showcasing insights from thought leaders like Dr. Bilel Jamoussi, Deputy Director of ITU’s Telecommunication Standardization Bureau. 

🎙️ Tune into discussions on: 

• The AI for Good initiative and its global impact 
• The role of international standards in AI safety and interoperability 
• Advancing digital infrastructure and closing the global connectivity gap 
• Real-world AI applications in health, agriculture, and climate action 

👉 Whether you're a policymaker, innovator, or researcher, stop by to engage in meaningful talks and explore how we can shape a responsible AI future—together. See you in Geneva! 

Resources Mentioned: 

https://www.linkedin.com/in/bilel-jamoussi/ 

⏱️ Timestamps: 

00:00 – Podcast Episode Highlights 

 01:37 - Meet Dr. Bilel Jamoussi, ITU Deputy Director 

 03:22 - What is ITU? 160 Years of Evolution 

 05:46 - Origin of "AI for Good" - Why This Name? 

 09:10 - Healthcare Revolution: WHO & WIPO Partnerships 

 14:00 - Real Impact: Rwanda's Healthcare Success Story 

 15:28 - Connecting the Unconnected: 2.6B People Offline 

 17:51 - AI Skills Coalition: From Kids to Diplomats 

 21:35 - Climate Action: Predicting Natural Disasters 

 24:44 - Food Security: AI in Agriculture with FAO 

 26:49 - Quantum for Good: The Future of Computing 

 29:25 - Why International Standards Matter 

 31:18 - Fighting Deepfakes: 70 Countries' Election Challenge 

 36:55 - Innovation vs Regulation: Finding Balance 

 40:47 - Sovereign AI: Reality Check for Small Countries 

 43:44 - Art Meets AI: Creative Canvas Platform 

 45:04 - Accessibility: 1 Billion People with Disabilities 

 46:31 - Summit Preview: Flying Cars & Brain Interfaces 

 47:30 - Lightning Round: One-Word Insights 

 49:29 - Call to Action & Summit Details 

🎯 Key Takeaways: 

• The 3 critical policy gaps in AI today: explainability, bias, and accountability 
• Why relying on a developer's goodwill is no longer sustainable 
• The case for outcome-based, risk-tiered regulation 
• Real-world examples from financial services and beyond 

📺 Watch now to understand what’s broken—and how we fix it. 

Resources Mentioned:  

https://www.linkedin.com/in/naresh-dulam/  

Timestamps: 

00:00 Introduction

01:33 AI Regulatory Gaps

03:46 Three Main Problems with AI

06:01 AI Explainability Issues

09:10 AI Bias and Fairness

12:37 Who's Accountable for AI Mistakes

17:30 Outcome-Based Regulation

19:40 EU vs US AI Regulation

23:45 Financial Services AI Rules

28:11 Innovation vs Safety

31:35 Open Source AI Discussion

39:05 AI Impact on Jobs

42:10 Career Advice for AI Era

45:50 Lightning Round Questions

46:58 Conclusion

Key Insights:  

• How China’s AI advancements challenge U.S. technological dominance.  
• The importance of maintaining a strategic edge in AI through policy and innovation.  
• Trade regulations on AI chips and the significance of the AI Diffusion Rule.  
• Balancing global trade while protecting U.S. intellectual property and national security.  
• The role of Congress in fostering competitive yet secure AI development.  

🌍 Watch Now: Understand the strategic dimensions of AI and what it means for the global landscape! 

Resources Mentioned:  

https://x.com/RepBenCline 

• Fostering AI startups and positioning Connecticut as a leader in the AI space. 
• Building a skilled workforce through comprehensive education and training initiatives. 
• Balancing innovation with public safety through thoughtful policies. 
• Navigating challenges faced by small AI companies in a complex regulatory landscape. 
• The importance of inclusive AI education to secure Connecticut’s innovative future. 

💡 Stay tuned for more insightful discussions on AI and its evolving role! 

Resources Mentioned:  

https://x.com/govnedlamont?lang=en   

https://www.youtube.com/@GovNedLamont/videos   

https://www.instagram.com/govnedlamont/?hl=en 

https://www.linkedin.com/in/dokeefe/   

https://x.com/okeefe   

➡️ AI’s growing role in political decision-making. 

➡️ Challenges in regulating AI while fostering innovation. 

➡️ The importance of bipartisan cooperation in shaping AI policy. 

➡️ How AI is influencing voter behavior and campaign strategies. 

👉 Watch the full conversation for expert insights on the future of AI and politics

Resources Mentioned: 

https://x.com/RepKatCammack

https://cammack.house.gov/

Timestamps: 

00:00 — Highlights

01:33 — Intro to podcast and Kat’s leadership roles

04:16 — Why Kat got involved in AI regulation

08:01 — Warning against patchwork state AI laws

10:09 — Blockchain as a tool for AI oversight

13:43 — AI, chips, and national security risks

18:29 — Kat introduces the REINS Act

22:34 — AI’s impact on farms and rural health

• How AI is reshaping the gambling industry and influencing player behavior. 
• The rise of multimodal AI & digital twins and what they mean for gaming. 
• Regulatory blind spots and how policymakers can bridge the gap. 
• AI’s role in fraud prevention and responsible gaming—where it succeeds and where risks remain. 

📺 Watch the full episode here: [YouTube Link] 

#AI #Gaming #FraudDetection #EthicalAI #RegulatingAI 

Resources Mentioned: 

https://www.linkedin.com/in/simo-dragicevic-54469b13/ 

https://www.linkedin.com/in/kasrag/ 

How neuroscience and robotics shaped Dr. Koene’s unique approach to AI ethics?

Algorithmic bias: where it begins, and how we can fight it

Challenges of aligning global AI regulations across continents

Why internal and external ethics boards matter

The delicate balance between innovation and regulation

👉 A must-watch for policymakers, tech leaders, and AI governance advocates.

Resources Mentioned:

https://www.linkedin.com/in/akoene/

🔹 Key Topics Covered: 

✅ The core principles of the EU AI Act and its enforcement 

✅ How this regulation impacts global businesses and AI startups 

✅ The EU’s approach to AI liability, ethics, and innovation 

✅ Comparing the EU AI Act with US and China’s AI policies 

✅ Challenges of implementing AI laws across industries 

📌 Don't miss this insightful conversation with one of Europe’s leading voices on AI regulation and digital policy. 

🔔 Subscribe to RegulatingAI for more expert conversations on AI governance. 

Resources Mentioned: 

https://www.linkedin.com/in/axel-voss-a1744969/  

✔ The evolving role of data governance and privacy in AI

✔ How companies like Mastercard are implementing ethical AI frameworks

✔ The challenges of AI regulation and global compliance

✔ The balance between AI innovation and consumer trust

Why Listen?

JoAnn brings decades of expertise in AI ethics, financial services, and regulatory compliance.

Whether you're an AI researcher, policymaker, or business leader, this conversation provides actionable insights on responsible AI development.

Resources Mentioned: https://www.linkedin.com/in/joann-stonier-5540b86/

🔹 Open-source AI: A catalyst for innovation or a national security risk?

🔹 DeepSeek, LLaMA, and China's AI momentum

🔹 Export controls, chip access, and tech diplomacy

🔹 The myth and reality of Artificial General Intelligence (AGI)

🔹 Why U.S. policymakers must balance global collaboration with domestic resilience

Explore the intersection of regulation, innovation, and international power dynamics—straight from Capitol Hill.

Resources Mentioned: https://lieu.house.gov/ https://x.com/RepTedLieu

🔹 The role of AI ethics in shaping policy and regulation 🔹 Key concerns around AI bias, fairness, and transparency 🔹 The global impact of AI on human rights and democratic values 🔹 How policymakers and tech leaders can collaborate for responsible AI development

📢 Join the conversation and shape the future of AI ethics!

Resources Mentioned: https://www.linkedin.com/in/emmanuelgoffi/

🔹 Key Takeaways: 

• How AI is transforming the way humans interact with technology 
• The future of cognitive assistance in everyday applications 
• Ethical considerations in AI-driven interfaces 

🎧 Watch now and explore AI's next frontier! 

Resources Mentioned: 

https://www.dfki.de/~krueger/ 

https://www.linkedin.com/in/antonio-kr%C3%BCger-3202b46/?originalSubdomain=de 

🔍 Key Topics Covered: 

• The intersection of AI and cardiology: Where are we today? 
• How AI-driven insights are improving diagnosis and treatment in cardiovascular health. 
• The role of telemedicine and digital health in expanding patient care. 
• Ethical and regulatory challenges in using AI in medicine. 
• 📌 Dr. Bhatt shares her expertise on the innovations shaping the future of heart health and the need for responsible AI development in healthcare. 

👉 Watch now and discover how AI is redefining cardiovascular care! 

Resources Mentioned: 

https://www.linkedin.com/in/dramibhatt/ 

• The delicate balance between AI regulation and fostering innovation 
• Why excessive AI regulation could push technological leadership to other countries 
• The role of Congress in setting AI guardrails while ensuring global competitiveness 
• How policymakers can keep up with the rapid advancements of AI 

🎧 Watch now to gain insights into the future of AI governance! 

📌 Subscribe to RegulatingAI Podcast for more discussions with global AI leaders! 

Resources Mentioned: 

https://begich.house.gov/about  

https://x.com/RepNickBegich 

⏱️ Timestamps: 

00:00 - Podcast Episode Highlights 

01:45 - Personal Journey into Politics 

05:10 - The Role of Technology in Society 

09:25 - AI and National Security 

13:00 - Energy Independence and Policy 

17:20 - Education and Workforce of the Future 

21:15 - Federal Overreach and States’ Rights 

25:40 - Economic Policy and Small Business 

29:50 - U.S. Global Positioning and Competition 

34:30 - Audience Q&A and Reflections 

38:45 - Closing Remarks 

🔍 In this episode: 

• Why civil rights must be at the core of AI policy 
• The challenges of bias and discrimination in AI algorithms 
• How policymakers and tech companies can collaborate to ensure fairness 
• Strategies for improving AI accountability and transparency 

📢 Don't miss this thought-provoking conversation on how to make AI more ethical and equitable. 

Resources Mentioned: 

https://www.linkedin.com/in/kjbagchi/ 

• The biggest AI governance challenges facing policymakers today 
• Striking the right balance between innovation and ethical AI development 
• How businesses can prepare for upcoming AI regulations 
• The role of governments in shaping responsible AI adoption 

🔴 Watch now for a policymaker’s take on the future of AI governance! 

Resources Mentioned: 

https://x.com/RepMikeKennedy 

⏱️ Timestamps: 

00:00 – Podcast Episode Highlights 

02:00 – Congressman Mike’s Background & Mission 

04:30 – Bridging the Urban-Rural Digital Divide 

07:15 – AI in Education & Skilling 

10:00 – Congressman Mike Kennedy Foundation & Youth Empowerment 

13:30 – The Role of AI in Public Service Delivery 

16:45 – Policy Recommendations for AI & Innovation 

20:00 – Women & AI: Breaking Barriers 

23:15 – Global AI Standards & India’s Role 

26:00 – Final Message: Youth Are the Future 

In this insightful episode of RegulatingAI, Dr. Shikoh Gitau, CEO of Qhala, sits down with Sanjay Puri to discuss Africa's growing influence in the AI sector. 

Highlights: 

✔️ Why African voices must shape global AI regulations 

✔️ The challenges of developing ethical AI frameworks 

✔️ Qhala’s innovative approach to AI development and deployment 

👀 Don't miss this conversation about the future of AI in Africa! 

Resources Mentioned: 

https://www.linkedin.com/in/Shikohh/ 

⏱️ Timestamps: 

00:00 – Podcast Episode Highlights 

02:00 – Dr. Gitau’s Journey in AI & Data Science 

05:00 – AI’s Potential for Emerging Markets 

08:30 – Barriers to AI Adoption in the Global South 

12:00 – Ethical AI & Data Sovereignty 

15:30 – The Role of Governments & Policymakers 

18:45 – Innovation vs. Regulation: Striking the Balance 

22:00 – AI in Healthcare & Public Services 

26:30 – AI & Financial Inclusion 

30:00 – The Future of AI in Africa 

34:00 – Final Thoughts & Takeaways

Join host Sanjay Puri in this insightful episode of the RegulatingAI Podcast as he sits down with Congressman Jake Auchincloss to discuss the intersection of AI, public policy, and national security. Discover why AI regulation matters and how the US can stay ahead in the global AI race. 

✅ Key topics discussed: 

• Why Congressman Auchincloss used AI-generated speech in Congress 
• How AI regulation should be industry-specific, not one-size-fits-all 
• Why the US should avoid following the EU’s approach to AI regulation 
• How AI will influence healthcare, defence, and financial services 
• The role of the US in leading global AI innovation 

👉 Watch Now: Don’t miss this important discussion on AI policy and leadership! 

Resources Mentioned: 

https://auchincloss.house.gov/  

https://x.com/RepAuchincloss 

⏱️ Timestamps: 

00:00 – Podcast Episode Highlights 

01:30 – Why Use AI in Congress? 

03:10 – Industry-Specific Regulation vs. Comprehensive Laws 

06:00 – Critique of the EU AI Act 

08:30 – Outcomes-Based Regulation Explained 

12:00 – Gaps in Current U.S. Law 

14:40 – Democratizing Access to AI 

17:00 – Reforming Section 230 

20:30 – Deepfake Legislation: The Intimate Privacy Protection Act 

23:00 – The Three Pillars of AI Innovation 

26:30 – The Rise of ‘Acquihires’ & Antitrust Loopholes 

30:00 – National Security & the China Challenge 

33:45 – AI & Energy: The Nuclear Opportunity 

36:30 – AI + Robotics = Future Defense 

40:00 – Export Controls Aren’t Enough 

43:00 – Rebuilding Global Trade Leadership 

46:00 – AI Policy in the Next Congress 

48:20 – The Deepfake Bill & Bipartisan Momentum 

50:30 – Keeping Up with AI’s Pace 

53:00 – Open Source vs. Proprietary AI 

54:00 – Final Advice: Support Local News 

In this episode of the RegulatingAI Podcast, host Sanjay Puri welcomes Congressman Gabe Amo to discuss his journey in public service and how it connects with AI regulation. Congressman Amo shares valuable insights on: 

• The importance of fair and responsible AI policies 
• Challenges in RegulatingAI while ensuring innovation 
• His experience in Rhode Island and Washington, DC, shaping AI governance 

🎧 Watch now to learn how Congressman Amo is working to balance technological growth with ethical guidelines. 

Resources Mentioned: 

https://amo.house.gov/about 

• Why bipartisan collaboration is essential for AI governance 
• Striking a balance between innovation and responsible regulation 
• The challenges and opportunities of AI in national security and privacy 

📺 Watch now and discover how AI policy decisions today will impact the future! 

Resources Mentioned: 

https://lieu.house.gov/ 

https://x.com/RepTedLieu 

⏱️ Timestamps: 

00:00 – Introduction 

01:15 – Why AI Regulation is Urgent Now 

03:30 – National Security & AI 

06:10 – Balancing Innovation with Guardrails 

08:30 – Who Should Be Regulated? 

10:45 – The Role of Congress in a Fast-Moving Field 

13:00 – The Need for a Federal AI Agency 

15:20 – AI & Democratic Values 

17:45 – Risks of Deepfakes & Misinformation 

20:15 – Ensuring Equity & Preventing Bias 

22:30 – The Role of Public Engagement in AI Governance 

24:30 – Final Thoughts & A Call to Action 

• The critical role of AI regulation in national security & economic resilience 
• How AI can bridge gaps in public policy rather than widen them 
• The biggest ethical concerns surrounding AI implementation 
• The future of AI governance in the U.S. and beyond 

🚀 Stay ahead of the curve—hit play and join the conversation! 

👍 Like, comment, and subscribe for more AI policy insights! 

Resources Mentioned: 

https://www.linkedin.com/in/david-schweikert-54ab0218/ 

Key Highlights:  

• The growing influence of AI on global legal frameworks  
•  How the laws that govern armed conflict are shaping AI governance  
• Challenges faced by governments and institutions in RegulatingAI  
•  Why balancing innovation with legal and ethical AI development is critical  

👉 Watch now to uncover expert insights on the future of AI regulation!  

Resources Mentioned:  

https://www.linkedin.com/in/jonathan-horowitz-b78b6026/  

ICRC Position Paper: Artificial intelligence and machine learning in armed conflict: A human-centred approach | International Review of the Red Cross: https://international-review.icrc.org/articles/ai-and-machine-learning-in-armed-conflict-a-human-centred-approach-913  

What you need to know about artificial intelligence and armed conflict: https://www.icrc.org/en/document/what-you-need-know-about-artificial-intelligence-armed-conflict  

Expert Consultation report – Artificial intelligence and Related Technologies in Military Decision-Making on the Use of Force in Armed conflicts: Current Developments and Potential Implications: https://shop.icrc.org/expert-consultation-report-artificial-intelligence-and-related-technologies-in-military-decision-making-on-the-use-of-force-in-armed-conflicts-current-developments-and-potential-implications-pdf-en.html  

Decisions, Decisions, Decisions: computation and Artificial Intelligence in military decision-making: https://shop.icrc.org/decisions-decisions-decisions-computation-and-artificial-intelligence-in-military-decision-making-pdf-en.html  

In this compelling conversation, Dr. Richard Benjamins shares insights on: 

✔️ His work in AI ethics and policy advocacy 

✔️ How companies like Telefonica approach responsible AI 

✔️ The role of international regulatory bodies in AI governance 

✔️ Key challenges in enforcing AI compliance across industries 

🌍 As AI adoption accelerates, ensuring ethical oversight is more critical than ever. This episode provides essential insights for business leaders, policymakers, and AI enthusiasts. 

📢 Tune in to gain expert perspectives on responsible AI! 

Resources Mentioned: 

https://www.linkedin.com/in/richard-benjamins/ 

⏱️ Timestamps: 

00:00 - Podcast Episode Highlights 

02:00 - Richard’s Journey into AI Ethics 

05:15 - Defining Responsible AI 

08:30 - Global AI Regulation: Differences & Challenges 

12:50 - Need for International Collaboration in AI Regulation 

17:20 - AI Ethics Boards & Their Role in Companies 

22:10 - Who Should Implement AI Ethics in a Company? 

26:40 - Addressing Bias & Privacy in AI Development 

31:50 - AI’s Impact on Smaller Languages & Cultures 

36:20 - The Monopoly Risk in AI 

41:00 - Ethical Principles for AI Development 

46:00 - Future-Proofing AI Regulation 

50:10 - AI’s Disruptive Impact on Jobs & Workforce 

55:20 - Final Advice for Policymakers & Researchers 

58:00 - Closing Remarks 

🔍 Topics Covered: 

• How AI is revolutionizing research methodologies and knowledge dissemination 
• The ethical dilemmas of integrating AI into education and scientific discovery 
• Challenges in RegulatingAI while maintaining academic freedom 
• The role of AI in shaping the future workforce and redefining critical thinking skills 

📢 Listen now and discover how AI is influencing the future of learning and research! 

Resources Mentioned: 

https://www.nicholasbdirks.com/  

https://www.linkedin.com/in/nicholas-dirks-84a1ab149/ 

In this episode of Regulating AI Podcast, US Congresswoman Suzan DelBene discusses the future of AI governance and how policymakers are shaping the landscape. 

🔹 Key discussion points: 

• The current state of AI regulation and where it’s headed. 
• How AI policies impact industries, businesses, and consumers. 
• The delicate balance between fostering AI innovation and enforcing ethical safeguards. 
• The role of transparency, accountability, and fairness in AI legislation. 
• Why collaboration between tech leaders, government, and global organizations is crucial for responsible AI growth. 

🎥 Join the conversation and stay ahead of AI regulations! Watch now! 

Resources Mentioned: 

https://delbene.house.gov/  

https://www.linkedin.com/in/suzan-delbene-752a174/ 

⏱️ Timestamps: 

00:00:00 - Podcast Episode Highlights 

00:01:13 - Rep. DelBene’s Journey to Congress 

00:03:20 - Why Privacy is the Foundation for AI Regulation 

00:06:56 - Challenges in Passing U.S. Privacy Laws 

00:09:02 - AI Bias & Discrimination Risks 

00:11:09 - Congress’s Role in AI Guardrails 

00:14:21 - Balancing Innovation & Regulation 

00:16:56 - International AI Policy Leadership 

00:19:04 - Centering Marginalized Communities 

00:20:52 - Preventing AI Monopolies 

00:24:30 - Workforce Readiness & Education 

00:27:35 - Closing Thoughts 

🔹 Key Topics Discussed: 

✔️ Why AI governance is more than just compliance 

✔️ How trust and accountability impact AI adoption 

✔️ The biggest risks enterprises face with AI deployment 

✔️ AI policy and governance models across different regions 

✔️ How businesses can scale AI while maintaining safety and oversight 

💡 Holistic AI’s Vision: Enabling enterprises to adopt AI with confidence through governance frameworks that align with business needs. 

🔴 Watch now and gain insights into how governance can shape the future of AI! 

🔔 Don’t forget to LIKE, SHARE, and SUBSCRIBE for more expert conversations on AI governance. 

Resources Mentioned: 

https://www.linkedin.com/in/emre-kazim-21784b21 

Sanjay Puri, Chairman & Founder of Knowledge Networks, joined an expert panel at the Generative AI Summit in Washington, D.C., hosted by the AI Accelerator Institute, to discuss "Innovation vs. Regulation – Ethically Balancing Rapid Development with a Safety-First Approach."

In this engaging conversation, industry leaders Daniel Fenton, Zorina Alliata, and Zachary Hanif shared insights on:

✅ Why AI innovation and regulation must go hand in hand.

✅ How collaboration between policymakers, industry leaders, and AI practitioners is key to responsible AI.

✅ Why ethical compliance is not a roadblock but a catalyst for sustainable AI development.

A big thank you to the AI Accelerator Institute, our incredible panelists, and everyone who joined the discussion! Let’s keep pushing the conversation forward on responsible AI innovation. 🚀💡

🔔 Subscribe for more expert discussions on AI governance, ethics, and innovation!

Many believe regulation slows down technological progress, but according to Lucilla Sioli, this is a false dilemma. The EU AI Act is designed to support both innovation and governance, ensuring that AI systems remain safe, reliable, and beneficial for all. 

📢 Key Takeaways: 

✅ Why regulation and innovation are not conflicting forces but complementary. 

✅ How AI regulation creates trust, leading to broader adoption and investment. 

✅ The role of AI sandboxes in allowing startups to test AI applications in a controlled environment. 

✅ The AI Pact’s growing global interest—why even U.S. and Korean companies are voluntarily aligning with EU AI standards. 

✅ What businesses can learn from the EU’s risk-based approach to AI regulation. 

🔍 Lucilla explains how the EU’s structured, risk-based framework ensures AI development remains competitive while prioritizing safety. 

Resources Mentioned: 

https://www.linkedin.com/in/lucilla-sioli-b944392/ 

🔹 Key insights:

~ The role of ethics in shaping AI policy and governance

~ How UNESCO’s AI recommendations are influencing global regulations

~ Balancing innovation with responsible AI development

~ The ethical dilemmas of AI in decision-making

Resources Mentioned:

https://www.linkedin.com/in/emma-ruttkamp-bloem-19400248/

⏱️ Timestamps:

00:00 - Podcast Highlights

02:21 - What inspired your journey into AI ethics?

05:13 - What is the significance of UNESCO's AI ethics recommendation?

11:10 - What are the key ethical challenges in AI development?

16:01 - How can the Global South's voice be amplified in AI policy?

19:24 - What are the ethical concerns of AI in military use?

22:06 - Why is data sovereignty important, and what role do data centres play?

27:29 - What insights have you gained on AI governance in Africa?

33:10 - Can online education help address training and connectivity in Africa?

39:27 - What role should international organisations play in AI governance?

42:08 - Will Africa develop its AI regulations or rely on others like the EU?

45:56 - How do you see human-technology relations evolving with AI?

47:07 - (Lightning Round)

50:45 - What gives you hope for AI governance, and what are your main concerns?