About this episode

Nicholas Thompson discusses with Navrina Singh how regulation can foster responsible AI development and maintain trust amidst rapid advancements.

What happens when AI learns faster than its makers can control? In this episode, Nicholas talks with Navrina Singh, founder and CEO of Credo AI, about how regulation could actually accelerate innovation of more responsible, transparent AI. Together, they dig into how governance can help the U.S. compete with China, prevent bias, and keep trust and transparency at the center of the AI revolution. (00:00) Introduction (04:09) What we learned from Microsoft’s Tay disaster (06:58) Why Navrina started Credo AI (11:12) Managing risk across the AI supply chain (12:43) Preventing bias in customer support chatbots (17:54) Is AI making the world less equal? (19:40) Ethics vs. speed in the AI race with China (21:40) How governance leads to better, faster products (28:04) Why there’s no perfect AI regulation right now (31:14) Preparing for a world where AI governs itself (34:15) The most interesting way Navrina has used AI Learn more about your ad choices. Visit megaphone.fm/adchoices

People in this episode

Host: Nicholas Thompson

Guest: Navrina Singh

Topics covered

• AI governance
• trust in AI
• regulation and innovation
• bias in AI
• AI ethics
• AI competition

Keywords

• trustworthy AI
• AI regulation
• AI bias
• AI ethics
• AI innovation
• AI governance

Mentioned in this episode

Organizations: Credo AI, Microsoft

Places: U.S., China

More episodes of The Most Interesting Thing in AI

• Data Centers in Space - with Nicholas Thompson and Ariel Ekblaw · April 22, 2026 · 40 min
• Season 4 Trailer · April 15, 2026 · 1 min
• The Copyright Wars - with Nicholas Thompson and Bill Gross · November 26, 2025 · 36 min
• AI in Flight - with Nicholas Thompson, Tory Bruno and Joe Schurman · November 12, 2025 · 39 min
• Artificial Life - with Nicholas Thompson and Lee Cronin · November 5, 2025 · 26 min
• The Future of AI at Work - with Nicholas Thompson and Matt Wood · October 29, 2025 · 28 min

Explore listener stats, chart rankings, contacts and more on the The Most Interesting Thing in AI podcast page.