Future of Life Institute Podcast

Michael Toscano is a Senior Fellow at the Institute for Family Studies and Director of its Family First Technology Initiative. He joins the podcast to discuss family-centered AI policy. The conversation covers AI companions, self-harm risks, sexualized chatbots, education, smartphones in schools, and why "infinite patience" can harm children's growth. Toscano also explains Catholic social teaching, public pushback against rapid AI deployment, and why society-wide governance may be needed to keep technology accountable to families. LINKS:Michael ToscanoCHAPTERS: (00:00) Episode Preview (01:12) Family centered AI <...

Anthony Aguirre is the CEO of the Future of Life Institute. He joins the podcast to discuss A Better Path for AI, his essay series on steering AI away from races to replace people. The conversation covers races for attention, attachment, automation, and superintelligence, and how these can concentrate power and undermine human agency. Anthony argues for purpose-built AI tools under meaningful human control, with liability, access limits, external guardrails, and international cooperation.LINKS:A Better Path for AIWhat You Can DoCHAPTERS: (00:00) Episode Preview (01:03) Attention, attachment...

Charlie Bullock is a Senior Research Fellow at the Institute for Law and AI. He joins the podcast to discuss radical optionality: how governments can prepare for very advanced AI without locking in premature rules. The conversation covers why law often trails technology, and how transparency, reporting, evaluations, cybersecurity standards, and expanded technical hiring could help. We also discuss private oversight, state versus federal rules, and the risk of concentrating power in companies or government.LINKS:Radical Optionality websiteCharlie BullockCHAPTERS: (00:00) Episode Preview <...

Charlie Bullock is a Senior Research Fellow at the Institute for Law and AI. He joins the podcast to discuss radical optionality: how governments can prepare for very advanced AI without locking in premature rules. The conversation covers why law often trails technology, and how transparency, reporting, evaluations, cybersecurity standards, and expanded technical hiring could help. We also discuss private oversight, state versus federal rules, and the risk of concentrating power in companies or government.LINKS:Radical Optionality websiteCharlie BullockCHAPTERS: (00:00) Episode Preview <...

Peter Wildeford is Head of Policy at the AI Policy Network, and a top AI forecaster. He joins the podcast to discuss how to forecast AI progress and what current trends imply for the economy and national security. Peter argues AI is neither a bubble nor a normal technology, and we examine benchmark trends, adoption lags, unemployment and productivity effects, and the rise of cyber capabilities. We also cover robotics, export controls, prediction markets, and when AI may surpass human forecasters.LINKS:Peter Wildeford BlogCHAPTERS: (00:00) Episode Preview <...

Carina Prunkl is a researcher at Inria. She joins the podcast to discuss how to assess the capabilities and risks of general-purpose AI. We examine why systems can solve hard coding and math problems yet still fail at simple tasks, why pre-deployment tests often miss real-world behavior, and how faster capability gains can increase misuse risks. The conversation also covers de-skilling, red teaming, layered safeguards, and warning signs that AIs might undermine oversight.LINKS:Carina Prunkl personal websiteCHAPTERS: (00:00) Episode Preview (01:04) Introducing the report (02:10) Jagged...

Li-Lian Ang is a team member at Blue Dot Impact. She joins the podcast to discuss how society can build a workforce to protect humanity from AI risks. The conversation covers engineered pandemics, AI-enabled cyber attacks, job loss and disempowerment, and power concentration in firms or AI systems. We also examine Blue Dot's defense-in-depth framework and how individuals can navigate rapid, uncertain AI progress.LINKS:Li-Lian Ang personal siteBlue Dot Impact organization siteCHAPTERS:(00:00) Episode Preview(00:48) Blue dot beginnings(03:04) Evolving AI risk concerns(06:20) AI agents in cyber<...

Emilia Javorsky is a physician-scientist and Director of the Futures Program at the Future of Life Institute. She joins the podcast to discuss her newly published essay on AI and cancer. She challenges tech claims that superintelligence will cure cancer, explaining why biology’s complexity, poor data, and misaligned incentives are bigger bottlenecks than raw intelligence. The conversation covers realistic roles for AI in drug discovery, clinical trials, and cutting unnecessary medical bureaucracy. You can read the full essay at: curecancer.aiCHAPTERS:(00:00) Episode Preview(01:10) Introduction and essay motivation<...

Tech executives have promised that AI will cure cancer. The reality is more complicated — and more hopeful. This essay examines where AI genuinely accelerates cancer research, where the promises fall short, and what researchers, policymakers, and funders need to do next.You can read the full essay at: curecancer.aiCHAPTERS:(00:00) Essay Preview(00:54) How AI Can, and Can't, Cure Cancer(17:05) Reckoning with Past Failures(35:23) Misguiding Myths and Errors(59:15) AI Solutions Derive from First Principles or Data(01:31:31) Systemic Bottlenecks & Misalignments(02:08:46) Conclusion...

Zak Stein is a researcher focused on child development, education, and existential risk. He joins the podcast to discuss the psychological harms of anthropomorphic AI. We examine attention and attachment hacking, AI companions for kids, loneliness, and cognitive atrophy. Our conversation also covers how we can preserve human relationships, redesign education, and build cognitive security tools that keep AI from undermining our humanity.LINKS:AI Psychological Harms Research CoalitionZak Stein official websiteCHAPTERS: (00:00) Episode Preview (00:56) Education to existential risk (03:03) Lessons...

Andrea Miotti is the founder and CEO of Control AI, a nonprofit. He joins the podcast to discuss efforts to prevent extreme risks from superintelligent AI. The conversation covers industry lobbying, comparisons with tobacco regulation, and why he advocates a global ban on AI systems that can outsmart and overpower humans. We also discuss informing lawmakers and the public, and concrete actions listeners can take.LINKS:Control AIControl AI global action pageControlAI's lawmaker contact toolsOpen roles at ControlAIControlAI's theory of change<...

Ryan Kidd is a co-executive director at MATS. This episode is a cross-post from "The Cognitive Revolution", hosted by Nathan Labenz. In this conversation, they discuss AGI timelines, model deception risks, and whether safety work can avoid boosting capabilities. Ryan outlines MATS research tracks, key researcher archetypes, hiring needs, and advice for applicants considering a career in AI safety. Learn more about Ryan's work and MATS at: https://matsprogram.orgCHAPTERS: (00:00) Episode Preview (00:20) Introductions and AGI timelines (10:13) Deception, values, and control (23:20) Dual use and alignment (32:22...

Deric Cheng is Director of Research at the Windfall Trust. He joins the podcast to discuss how AI could reshape the social contract and global economy. The conversation examines labor displacement, superstar firms, and extreme wealth concentration, and asks how policy can keep workers empowered. We discuss resilient job types, new tax and welfare systems, global coordination, and a long-term vision where economic security is decoupled from work.LINKS:Deric Cheng personal websiteAGI Social Contract project siteGuiding society through the AI economic transitionCHAPTERS:(00:00) Episode Preview(01:01) Introducing Derek and AGI<...

Oly Sourbut is a researcher at the Future of Life Foundation. He joins the podcast to discuss AI for human reasoning. We examine tools that use AI to strengthen human judgment, from collective fact-checking and scenario planning to standards for honest AI reasoning and better coordination. We also discuss how we can keep humans central as AI scales, and what it would take to build trustworthy, society-wide sensemaking.LINKS:FLF organization siteOly Sourbut personal siteCHAPTERS:(00:00) Episode Preview(01:03) FLF and human reasoning(08:21) Agents and epistemic virtues(22:16) Human...

Nora Ammann is a technical specialist at the Advanced Research and Invention Agency in the UK. She joins the podcast to discuss how to steer a slow AI takeoff toward resilient and cooperative futures. We examine risks of rogue AI and runaway competition, and how scalable oversight, formal guarantees and secure code could support AI-enabled R&D and critical infrastructure. Nora also explains AI-supported bargaining and public goods for stability.LINKS:Nora Ammann siteARIA safeguarded AI program pageAI Resilience official siteGradual Disempowerment websiteCHAPTERS:(00:00) Episode Preview(01:00) Slow takeoff expectations(08:13...

David Duvenaud is an associate professor of computer science and statistics at the University of Toronto. He joins the podcast to discuss gradual disempowerment in a post-AGI world. We ask how humans could lose economic and political leverage without a sudden takeover, including how property rights could erode. Duvenaud describes how growth incentives shape culture, why aligning AI to humanity may become unpopular, and what better forecasting and governance might require.LINKS:David Duvenaud academic homepageGradual DisempowermentThe Post-AGI WorkshopPost-AGI Studies DiscordCHAPTERS:(00:00) Episode Preview(01:05) Introducing gradual disempowerment(06:06) Obsolete labor...

Stephen Adler is a former safety researcher at OpenAI. He joins the podcast to discuss how to govern increasingly capable AI systems. The conversation covers competitive races between AI companies, limits of current testing and alignment, mental health harms from chatbots, economic shifts from AI labor, and what international rules and audits might be needed before training superintelligent models. LINKS:Steven Adler's Substack: https://stevenadler.substack.comCHAPTERS:(00:00) Episode Preview(01:00) Race Dynamics And Safety(18:03) Chatbots And Mental Health(30:42) Models Outsmart Safety Tests(41:01) AI Swarms And Work(54:21) Human B...

Tyler Johnston is Executive Director of the Midas Project. He joins the podcast to discuss AI transparency and accountability. We explore applying animal rights watchdog tactics to AI companies, the OpenAI Files investigation, and OpenAI's subpoenas against nonprofit critics. Tyler discusses why transparency is crucial when technical safety solutions remain elusive and how public pressure can effectively challenge much larger companies.LINKS:The Midas Project WebsiteTyler Johnston's LinkedIn ProfileCHAPTERS:(00:00) Episode Preview(01:06) Introducing the Midas Project(05:01) Shining a Light on AI(08:36) Industry Lockdown and Transparency(13:45...

William MacAskill is a senior research fellow at Forethought. He joins the podcast to discuss his Better Futures essay series. We explore moral error risks, AI character design, space governance, and persistent path dependence. The conversation also covers risk-averse AI systems, moral trade between value systems, and improving model specifications for ethical reasoning.LINKS:- Better Futures Research Series: https://www.forethought.org/research/better-futures- William MacAskill Forethought Profile: https://www.forethought.org/people/william-macaskillCHAPTERS:(00:00) Episode Preview(01:03) Improving The Future's Quality(09:58) Moral Errors and AI...

Karl Koch is founder of the AI Whistleblower Initiative. He joins the podcast to discuss transparency and protections for AI insiders who spot safety risks. We explore current company policies, legal gaps, how to evaluate disclosure decisions, and whistleblowing as a backstop when oversight fails. The conversation covers practical guidance for potential whistleblowers and challenges of maintaining transparency as AI development accelerates.LINKS:About the AI Whistleblower InitiativeKarl KochPRODUCED BY:https://aipodcast.ingCHAPTERS:(00:00) Episode Preview(00:55) Starting the Whistleblower Initiative<...