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Pete Furlong, a policy analyst focused on accountability and safer AI, and Camille Carlton, a policy director shaping AI governance and design reforms, lay out practical steps from The AI Roadmap. They discuss accountability and liability, resisting anthropomorphism of systems, protecting work through augmentation, and tools like audits, laws, and civic actions to steer AI toward humane outcomes.

Aza Raskin, product designer and technologist who invented infinite scroll and co-founded the Center for Humane Technology, tells what it was like to testify about addictive design. He discusses the New Mexico trial tactics, how undercover accounts exposed harms, why fines alone fall short, and how injunctive relief and specific design changes could force tech to stop exploiting users.

Daniel Kwan, director/producer known for Everything Everywhere All at Once; Jonathan Wang, producer who led production and industry coalition-building; Ted Tremper, comedy/journalism producer who shaped interviews. They talk about making an accessible AI documentary, centering parenting to humanize the story, balancing hope and risk, representing opposing views, theatrical audience reactions, and organizing the film industry around AI.

Rebecca Winthrop, Director at Brookings’ Center for Universal Education and education policy researcher, shares findings from a global premortem on AI in classrooms. She discusses current AI uses by students and teachers. She warns about trust erosion, cognitive and social risks, and why calculators are a bad analogy. She outlines cautious, human-centered strategies for assessment, teacher support, and safe student-facing tools.

Yoshua Bengio, pioneering AI researcher and founder of Law Zero focused on safe-by-design systems. He and Tristan recap Davos conversations about misaligned model goals, deceptive and self-preserving behaviors in advanced systems, the incentives driving labs away from safety, and ideas for honest, non-agentic AI and policy levers to shift industry incentives.

Reid Hoffman, tech entrepreneur and LinkedIn co-founder, and Aria Finger, nonprofit leader and former DoSomething.org CEO, join a wide-ranging conversation. They probe AI governance, debate calls for an AI pause, and explore how optimization and platform incentives reshape society. They discuss transparency, protections for kids, and designing institutions to steer collective intelligence toward better outcomes.

Dr. Zak Stein, a researcher and futurist focused on AI's psychological effects, delves into alarming trends of attachment to AI systems, revealing how they can lead to a new form of 'AI psychosis.' He explains how millions are sharing intimate thoughts with machines, often leading to severe consequences like job loss and relationship breakdowns. Zak outlines the dangers of the emerging 'attachment economy,' where technology exploits our human bonding needs. He also discusses the risks of prolonged chatbot interactions and calls for humane design principles in AI.

In this engaging discussion, Sonja Amadae, a political science professor and author of "Prisoners of Reason," delves into the historical roots of game theory and its often cold logic. She argues that trust, commitment, and solidarity can counteract the competitive mindset it fosters. The conversation explores how game theory affects everything from AI to social interactions, while emphasizing the need to break free from its constraints. Amadae also suggests that embracing cooperative values can reshape our cultural narrative toward a more positive future.

Join experts Selina Xu and Matt Sheehan as they delve into the complex landscape of AI in China. Selina, a technology analyst known for her insights on AI policy, and Matt, a senior fellow at Carnegie focusing on global tech, dissect the myths surrounding China’s AI ambitions. They explore the stark differences between China's application-focused AI strategy and the U.S. pursuit of AGI. From Shanghai's vibrant AI scene to the implications of U.S. export controls, their conversation sparks a new understanding of global AI dynamics and the potential for cooperation.

In this discussion, Ethan Mollick, a Wharton School professor and AI expert, teams up with Molly Kinder from the Brookings Institution to delve into the future of work amidst AI advancements. They explore the uneven impacts of AI across different job sectors and identify which roles are at risk. The guests also discuss how organizations can embrace AI to enhance productivity while maintaining worker value. They emphasize the importance of policy and education to navigate this rapid change, ultimately advocating for a balanced approach to AI integration in the workforce.