AI Frontiers

Center for AI Safety
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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

  1. 1 day ago

    “Don’t Let AI Developers Hire Their Own Referees” by AI Frontiers

    Subtitle: Letting AI developers pick their own safety auditors creates a conflict of interest. Requiring liability insurance instead would put insurers’ own capital behind risk assessments. Gabriel Weil, Professor at the University of Houston Law Center — July 29, 2026 A growing chorus of scholars and policymakers favors letting private organizations—rather than a government regulator—govern frontier AI. In the leading family of proposals, the state sets the safety outcomes it wants and licenses independent verification organizations (IVOs) that compete to certify developers against those outcomes. Gillian Hadfield has developed the idea as “regulatory markets,” in which AI developers must pay for oversight from private regulators that governments license and hold accountable for safety standards. Dean Ball, who likens the arrangement to bank supervision, has argued for a version he calls “private governance,” which a nonprofit named Fathom has converted into model legislation. The rationale is that legislators and agencies are poorly positioned to write good safety rules for frontier AI: they understand these systems less well than the labs building them, and rules fixed in advance cannot keep pace as the technology changes. Private verifiers, meanwhile, are closer to the technology than any agency and are disciplined by [...] --- Outline: (03:12) Building the Right Incentive Structures (08:15) A Mandatory Insurance Model for AI Governance (12:23) Objections to a Mandatory Insurance Model (20:41) Mandatory Insurance Is a Better Form of Private Governance (22:38) Discussion about this post (22:42) Ready for more? --- First published: July 29th, 2026 Source: https://newsletter.ai-frontiers.org/p/dont-let-ai-developers-hire-their --- Narrated by TYPE III AUDIO. --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

  2. 20 Jul

    “Drone WMDs Don’t Need Any New Technology” by AI Frontiers

    Subtitle: Today's drones can already navigate indoors, track down humans, and deliver a lethal payload. Attackers willing to kill indiscriminately don’t need to wait for much else. Felix Choussat — July 20, 2026 Drones are cheap, disposable, and the future of war. Over the past four years, we have seen platforms, missiles, and heavy infantry become increasingly obsolete in the face of $500 drones carrying a pack of explosives—a cost advantage that has let Iranians and Ukrainians alike neuter the conventional capabilities of their great power rivals. Eighty percent of casualties in the bloodiest war since 1945 are from drone strikes, Russia has managed to lose one-third of its fleet to a country without a navy, and the US is spending millions of dollars to intercept five-figure Shaheds flying over the Strait of Hormuz. All this is the result of a technology that is still immature. The violence inflicted by today's drones is the handiwork of the scant few that manage to evade countermeasures (a mix of radio jamming, high-power microwave weapons, missiles, automatic cannons, interceptor drones, and nets) before making contact. These defenses exploit the inherent limitations of drones—human guidance, GPS feedback, flight exposure, radio links, range—to [...] --- Outline: (03:02) Breaking the Last Barriers to Autonomous Weapons (08:38) Future Methods of Weaponization (10:52) What an Urban Drone Attack Might Look Like (13:26) Defenses Against Drone WMDs May Be Inadequate (17:46) Strategic Applications for Rogue Actors (21:37) Taking Drone WMDs Seriously (23:43) Discussion about this post (23:47) Ready for more? --- First published: July 20th, 2026 Last updated: July 27th, 2026 Source: https://newsletter.ai-frontiers.org/p/drone-wmds-dont-need-any-new-technology --- Narrated by TYPE III AUDIO. --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

  3. 20 Jul

    “Drone WMDs Don’t Need Any New Technology” by Felix Choussat

    Drones are cheap, disposable, and the future of war. Over the past four years, we have seen platforms, missiles, and heavy infantry become increasingly obsolete in the face of $500 drones carrying a pack of explosives—a cost advantage that has let Iranians and Ukrainians alike neuter the conventional capabilities of their great power rivals. Eighty percent of casualties in the bloodiest war since 1945 are from drone strikes, Russia has managed to lose one-third of its fleet to a country without a navy, and the US is spending millions of dollars to intercept five-figure Shaheds flying over the Strait of Hormuz. All this is the result of a technology that is still immature. The violence inflicted by today's drones is the handiwork of the scant few that manage to evade countermeasures (a mix of radio jamming, high-power microwave weapons, missiles, automatic cannons, interceptor drones, and nets) before making contact. These defenses exploit the inherent limitations of drones—human guidance, GPS feedback, flight exposure, radio links, range—to take them down en masse. And yet, even though 75% of some types of drones manufactured today never reach their targets, they have nonetheless been strategically decisive in Ukraine and elsewhere. These limitations will [...] --- Outline: (02:33) Breaking the Last Barriers to Autonomous Weapons (08:21) Future Methods of Weaponization (10:39) What an Urban Drone Attack Might Look Like (13:20) Defenses Against Drone WMDs May Be Inadequate (17:46) Strategic Applications for Rogue Actors (21:46) Taking Drone WMDs Seriously --- First published: July 20th, 2026 Source: https://aifrontiersmedia.substack.com/p/drone-wmds-dont-need-any-new-technology --- Narrated by TYPE III AUDIO. --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

  4. 10 Jul

    “The Government Is Choosing AI Models. Who Chooses Their Values?” by AI Frontiers

    Subtitle: The public deserves a say over the values of government-procured AIs. Kevin Frazier and Andrew Reddie — July 10, 2026 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. 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? This question has no simple answer. With other technologies, the choice of a specific model might largely come down to [...] --- Outline: (02:32) How Model Character Could Influence Policy (06:34) Introducing Public Reasoning Fidelity (13:23) Designing an Institution to Evaluate PRF (16:34) Precedents (20:34) The Public Should Choose Public AI Values (21:47) Discussion about this post (21:51) Ready for more? --- First published: July 10th, 2026 Source: https://newsletter.ai-frontiers.org/p/the-government-is-choosing-ai-models --- Narrated by TYPE III AUDIO. --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

  5. 10 Jul

    “The Government Is Choosing AI Models. Who Chooses Their Values?” by Kevin Frazier, Andrew Reddie

    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. 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? 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 [...] --- Outline: (02:12) How Model Character Could Influence Policy (06:18) Introducing Public Reasoning Fidelity (13:18) Designing an Institution to Evaluate PRF (16:29) Precedents (20:33) The Public Should Choose Public AI Values --- First published: July 10th, 2026 Source: https://aifrontiersmedia.substack.com/p/the-government-is-choosing-ai-models --- Narrated by TYPE III AUDIO.

  6. 6 Jul

    “AI Governance Needs Radical Optionality” by AI Frontiers

    Subtitle: One of the most valuable things governments can build today is the capacity to govern advanced AI competently in the future. Charlie Bullock, Senior Research Fellow at the Institute for Law & AI — July 6, 2026 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. 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 [...] --- Outline: (02:02) Addressing AI Risks Under Uncertainty (06:40) Supporting Both Security and Innovation (10:37) Discussion about this post (10:41) Ready for more? --- First published: July 6th, 2026 Source: https://newsletter.ai-frontiers.org/p/ai-governance-needs-radical-optionality --- Narrated by TYPE III AUDIO. --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

  7. 6 Jul

    “AI Governance Needs Radical Optionality” by Charlie Bullock

    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. 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. In this piece, we explain the rationale behind maximizing [...] --- Outline: (01:40) Addressing AI Risks Under Uncertainty (06:26) Supporting Both Security and Innovation --- First published: July 6th, 2026 Source: https://aifrontiersmedia.substack.com/p/ai-governance-needs-radical-optionality --- Narrated by TYPE III AUDIO.

  8. 30 Jun

    “Three Models of Sino-American Competition for the Soul of AI” by AI Frontiers

    Subtitle: American leaders agree that the AI race will shape the balance of power with China. But they can’t agree on how to ensure the technology advances American values. Bill Drexel, Senior Fellow at the Hudson Institute — June 30, 2026 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. 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 [...] --- Outline: (03:04) Breakaway Tech Dominance (07:03) Encoded Values (12:59) Emergent Control Regimes (18:02) A Rebalanced Approach (24:57) Discussion about this post (25:01) Ready for more? --- First published: June 30th, 2026 Source: https://newsletter.ai-frontiers.org/p/three-models-of-sino-american-competition --- Narrated by TYPE III AUDIO. --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

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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

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  • Creator
    Center for AI Safety
  • Years Active
    2025 - 2026
  • Episodes
    66
  • Rating
    Clean
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    © 2026 All rights reserved
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    AI Frontiers