Live from the AI4 Conference in Las Vegas, Andrew Reiskind, Chief Data Officer at Mastercard, joins the Regulating AI Podcast to discuss the critical intersection of data, AI, and trust. From AI-powered fraud detection to personalization, responsible AI governance, and the rise of agentic commerce, Andrew shares how Mastercard is navigating global challenges in data sovereignty while keeping safety and security at the core. 

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/ 

In this episode of the RegulatingAI podcast, host Sanjay Puri speaks with Professor Edward Santow, former Australian Human Rights Commissioner and co-director of the Human Technology Institute. Together, they explore how algorithms intended to support justice can actually perpetuate discrimination. 

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 

Join host Sanjay Puri in conversation with Dr. Cari Miller, a leading voice in AI governance, as they unpack the recently announced America’s AI Action Plan. 

🔍 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  

The RegulatingAI Podcast welcomes Prof. Raquel Brízida Castro to examine how Europe's AI regulatory framework measures up against core constitutional protections.

📌 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

🚨 BREAKING: Former Deputy White House Counsel's Latest Interview on Trump's AI Strategy 

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 

In this episode of RegulatingAI, Sanjay speaks with Rob T. Lee, Chief AI Officer at the SANS Institute and advisor to the U.S. Foreign Intelligence Surveillance Court. 

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 

In this compelling ‘AI for Good’ panel, moderator Sanjay Puri brings together two of the most influential voices in global health: Peter Sands, Executive Director of The Global Fund, and Sania Nishtar, CEO of Gavi, the Vaccine Alliance. 

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 

In this special episode of the Regulating AI Podcast, live from the AI for Good Summit in Geneva, host Sanjay Puri sits down with Frederic Werner, Chief of Strategy and Operations at AI for Good, to explore how the initiative has evolved into a global movement touching every corner of society. 

🔍 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/ 

Can responsibility, innovation, and success truly coexist in the age of AI? Salesforce's Eric Loeb believes they must—and shares how the company is putting that vision into action through agentic AI and values-led governance.

💡 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/

Join us for a groundbreaking conversation with Harvard Professor David A. Sinclair, a global authority on aging and longevity. Live from the ITU AI for Good conference in Geneva, Dr. Sinclair explains how his lab is leveraging AI to identify molecules that may reverse the aging process. 

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/