Emilia Javorsky explores how AI can realistically aid cancer research, where current hype exceeds evidence, and what changes researchers, policymakers, and funders must make to turn AI advances into real clinical impact.
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Researcher Zak Stein discusses how anthropomorphic AI can exploit human attachment systems, its psychological risks for children and adults, and ways to redesign education and cognitive security tools to protect relationships and human agency.
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Andrea Miotti, founder of Control AI, discusses the extreme risks from superintelligent AI and his case for a global ban on systems that could outsmart humans, touching on industry lobbying, regulation strategies, public awareness, and citizen actions.
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Ryan Kidd of the MATS program joins The Cognitive Revolution to discuss AGI timelines, model deception risks, dual-use alignment, and frontier lab governance, and outlines MATS research tracks, talent needs, and advice for aspiring AI safety researchers.
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Deric Cheng of the Windfall Trust discusses how AGI could transform the social contract, jobs, and inequality, exploring labor displacement, resilient work, new tax and welfare models, and long-term visions for decoupling economic security from employment.
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Researcher Oly Sourbut discusses how AI tools might strengthen human reasoning, from fact-checking and scenario planning to honest AI standards and better coordination, and explores how to keep humans central while building trustworthy, society-wide sensemaking.
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Technical specialist Nora Ammann of the UK's ARIA discusses how to steer a slow AI takeoff toward resilient, cooperative futures, covering risks from rogue AI and competition to scalable oversight, formal guarantees, secure infrastructure, and AI-supported bargaining.
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David Duvenaud examines gradual disempowerment after AGI, exploring how economic and political power and property rights could erode, why AI alignment may become unpopular, and what forecasting and governance might require.
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Former OpenAI safety researcher Stephen Adler discusses governing increasingly capable AI, including competitive race dynamics, gaps in testing and alignment, chatbot mental-health impacts, economic effects on labor, and international rules and audits before training superintelligent models.
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Tyler Johnston of the Midas Project discusses applying corporate accountability to the AI industry, focusing on OpenAI's actions, including subpoenas, and the need for transparency and public awareness regarding AI risks.
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William MacAskill discusses his Better Futures essay series, arguing that improving the future's quality deserves equal priority to preventing catastrophe. The conversation explores moral error risks, AI character design, space governance, and ethical reasoning for AI systems.
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Karl Koch discusses the AI Whistleblower Initiative, focusing on transparency and protections for AI insiders who identify safety risks. The episode explores current policies, legal gaps, and practical guidance for potential whistleblowers.
View episodeNo matter your level of experience or seniority, there is something you can do to help us ensure the future of life is positive.
