AI Frontiers is a platform for expert dialogue and debate on the impacts of artificial intelligence.
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AI Frontiers
Claim This Podcastby Center for AI Safety
4.0(4 reviews)
85 episodes
Updated Daily
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Podcast Overview
AI Frontiers is a platform for expert dialogue and debate on the impacts of artificial intelligence. Sign up for our newsletter: https://ai-frontiers.org/subscribe
Language
🇺🇲
Publishing Since
4/6/2025
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Recent Episodes
July 10, 2026
“The Government Is Choosing AI Models. Who Chooses Their Values?” by Kevin Frazier, Andrew Reddie
<p> In September 2025, the state of California made an AI assistant, Poppy, generally available to employees, to help them “explore AI's productivity benefits.” The following month, the North Dakota Legislative Council deployed AI to assist with summarizing bills. And, in March 2026, the Los Angeles Superior Court partnered with an AI company to provide support across several key functions, including “case information, summarization, research, analysis and drafting assistance,” as well as case management.</p><p> In the near future, it is likely that more US states and the federal government will direct the technology toward even more sensitive and significant tasks. AI may be used to adjudicate disputes, accelerate law-enforcement activities, and aid military operations to an even greater extent than it does today. As AI use cases are more regularly documented, scrutinized, fine-tuned, and optimized, people may actually demand increased AI adoption among government actors, even in sensitive domains. That raises the question: which models should be used?</p><p> This question has no simple answer. With other technologies, the choice of a specific model might largely come down to trade-offs between cost and performance. When it comes to AI, however, different frontier models may show significant differences in “character” or appear [...]</p> <p>---</p><p><strong>Outline:</strong></p><p>(02:12) How Model Character Could Influence Policy</p><p>(06:18) Introducing Public Reasoning Fidelity</p><p>(13:18) Designing an Institution to Evaluate PRF</p><p>(16:29) Precedents</p><p>(20:33) The Public Should Choose Public AI Values</p> <p>---</p> <p><b>First published:</b><br/> July 10th, 2026 </p> <p><b>Source:</b><br/> <a href="https://aifrontiersmedia.substack.com/p/the-government-is-choosing-ai-models?utm_source=TYPE_III_AUDIO&utm_medium=Podcast&utm_content=Source+URL+in+episode+description&utm_campaign=ai_narration" rel="noopener noreferrer" target="_blank">https://aifrontiersmedia.substack.com/p/the-government-is-choosing-ai-models</a> </p> <p>---</p> <p>Narrated by <a href="https://type3.audio/?utm_source=TYPE_III_AUDIO&utm_medium=Podcast&utm_content=Narrated+by+TYPE+III+AUDIO&utm_term=center_for_ai_safety&utm_campaign=ai_narration" rel="noopener noreferrer" target="_blank">TYPE III AUDIO</a>.</p>
July 6, 2026
“AI Governance Needs Radical Optionality” by Charlie Bullock
<p> How should governments regulate the most advanced AI systems? One possible answer is that they should not. Libertarian-minded writers have made the case for a culture of “permissionless innovation” for AI development, in which the role of government would be limited to enforcing existing laws and facilitating industry self-regulation with “soft law” tools such as voluntary standard-setting. Another possibility, more in vogue across the aisle and the pond, would invoke the precautionary principle, using heavy-handed regulation to restrict the development of frontier AI models until developers can adequately prove that their systems are safe.</p><p> I think there's a better approach. In a new essay, my co-author Christoph Winter and I make the case for a governance strategy that we call “radical optionality.” The idea is simple: governments should avoid over-regulation in the short term while building up the institutional capacity needed to competently regulate extremely advanced or “transformative” future AI systems when and if these systems come into existence. The point of this approach is to maximize optionality by providing our institutions with tools that can be used to respond to a wide range of foreseen or unforeseen future developments.</p><p> In this piece, we explain the rationale behind maximizing [...]</p> <p>---</p><p><strong>Outline:</strong></p><p>(01:40) Addressing AI Risks Under Uncertainty</p><p>(06:26) Supporting Both Security and Innovation</p> <p>---</p> <p><b>First published:</b><br/> July 6th, 2026 </p> <p><b>Source:</b><br/> <a href="https://aifrontiersmedia.substack.com/p/ai-governance-needs-radical-optionality?utm_source=TYPE_III_AUDIO&utm_medium=Podcast&utm_content=Source+URL+in+episode+description&utm_campaign=ai_narration" rel="noopener noreferrer" target="_blank">https://aifrontiersmedia.substack.com/p/ai-governance-needs-radical-optionality</a> </p> <p>---</p> <p>Narrated by <a href="https://type3.audio/?utm_source=TYPE_III_AUDIO&utm_medium=Podcast&utm_content=Narrated+by+TYPE+III+AUDIO&utm_term=center_for_ai_safety&utm_campaign=ai_narration" rel="noopener noreferrer" target="_blank">TYPE III AUDIO</a>.</p>
June 30, 2026
“Three Models of Sino-American Competition for the Soul of AI” by Bill Drexel
<p> When officials in Washington warn about losing the AI race to China, the conversation turns quickly to military and economic advantage—and rightly so. Advanced AI will reshape everything from weapons systems to medicine, with massive implications for our geopolitical competitiveness. But beneath the great-power competition on AI lies a moral one. The ethical character of the most transformative technology in generations—one that will mediate an ever-larger share of human experience—will be a byproduct of superpower rivalry. At stake is the future of the relationship between individuals and the state, of privacy and control, of human agency and algorithmic authority.</p><p> The fear is not merely that China might build better systems, deploy them more widely, or out-sell American competitors. It is that those systems could carry a tide of new norms shaped by a government that surveils its citizens, suppresses dissent, harbors eugenic ambitions, and treats individual autonomy as a problem. As AI comes to dominate our lives as thoroughly as digital media already has—shaping our health and finances, how our children learn, how we are tracked, even our species’ genetic makeup—this battle for AI's soul will affect us all intimately.</p><p> The contours of that battle are almost always left [...]</p> <p>---</p><p><strong>Outline:</strong></p><p>(02:37) Breakaway Tech Dominance</p><p>(06:45) Encoded Values</p><p>(12:51) Emergent Control Regimes</p><p>(18:05) A Rebalanced Approach</p> <p>---</p> <p><b>First published:</b><br/> June 30th, 2026 </p> <p><b>Source:</b><br/> <a href="https://aifrontiersmedia.substack.com/p/three-models-of-sino-american-competition?utm_source=TYPE_III_AUDIO&utm_medium=Podcast&utm_content=Source+URL+in+episode+description&utm_campaign=ai_narration" rel="noopener noreferrer" target="_blank">https://aifrontiersmedia.substack.com/p/three-models-of-sino-american-competition</a> </p> <p>---</p> <p>Narrated by <a href="https://type3.audio/?utm_source=TYPE_III_AUDIO&utm_medium=Podcast&utm_content=Narrated+by+TYPE+III+AUDIO&utm_term=center_for_ai_safety&utm_campaign=ai_narration" rel="noopener noreferrer" target="_blank">TYPE III AUDIO</a>.</p>
85 total episodes available
Recent guests on AI Frontiers
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Laura Hiscott
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Deric Cheng
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Cameron Berg
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Audrey Tang
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Adam Khoja
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Bruce Schneier
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Nathan E Sanders
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Karson Elmgren
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Scott Singer
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Oliver Guest
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Dan Hendrycks
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Rosario Mastrogiacomo
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Frequently asked questions
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- What is AI Frontiers?
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This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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Yes, this podcast regularly features guests.
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