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. 4d ago

    “Hyperlaw: AI Will Change How Law Evolves” by AI Frontiers

    Subtitle: As AI makes legal work significantly cheaper, the burden on courts may increase. Some areas of law could see precedent shift faster as a result. Henry Thompson, Professor of Economics at the University of Mississippi — August 17, 2026 History shows that new technologies have often brought about significant changes in the law. The proliferation of rail and heavy machinery during the Industrial Revolution increased the number and severity of accidents. This spurred a shift from strict liability (businesses were liable for harm caused by their activities) to negligence (businesses would be held responsible if they failed to take reasonable care) in cases involving railroad and industrial accidents. Then, in the 20th century, as consumer goods became more complex and supply chains grew, it became much harder for consumers to prove negligence on the part of the producer if a product was faulty. This drove the rise of strict products liability, shifting responsibility for defective products toward manufacturers. Today, the emergence of AI offers a rare opportunity to analyze how the law will change in response to an altogether different kind of innovation: a labor-augmenting technology that is especially likely to change lawyer productivity. In a recent [...] --- Outline: (02:14) AI's Effects on the Practice of Law (05:08) The Number of Disputes (09:51) The Settlement Rate (11:53) AI and the Evolution of Law (14:21) Hyperlaw in Society (17:09) Discussion about this post (17:13) Ready for more? --- First published: August 17th, 2026 Source: https://newsletter.ai-frontiers.org/p/hyperlaw-ai-will-change-how-law-evolves --- 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. Aug 13

    “AI Content Must Now Carry a Label. Cameras Are Next.” by AI Frontiers

    Subtitle: New EU and California laws require AI companies, and eventually camera makers, to sign their media outputs. It's our best chance to tell what's real. Eddan Katz, Head of Policy & Gov Affairs at Encypher — August 13, 2026 Two days before Slovakia's 2023 parliamentary election, a fabricated audio clip spread widely on social media, appearing to catch a leading candidate and a prominent journalist discussing how to rig the vote. The following year, nonconsensual pornographic deepfakes of Taylor Swift amassed over 45 million views on X in less than 24 hours. In summer 2025, an elderly woman in Ontario lost her life savings to a cryptocurrency scam, which began with a Facebook advertisement featuring a deepfake of Prime Minister Mark Carney. In each of these cases, harm might have been reduced by content provenance metadata: information attached to content that declares how it was produced. (Generally, the term “provenance” refers to a record of where something came from and what happened to it along the way.) Content provenance tools can’t directly prove whether a bare image or video is real or synthetic; no technology reliably can. Instead, they serve as an evidentiary layer of AI governance [...] --- Outline: (02:49) What Content Provenance Is and How It Works (06:51) Limitations of Content Credentials (12:00) What the EU and California Acts Require (15:15) The EU and California Laws' Global Impact (17:43) How Provenance Mandates Support Courts in Tackling Deepfake Evidence (21:21) Discussion about this post (21:25) Ready for more? --- First published: August 13th, 2026 Source: https://newsletter.ai-frontiers.org/p/ai-content-must-now-carry-a-label --- 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. Aug 11

    “AGI Will Set Off an Industrial Explosion” by AI Frontiers

    Subtitle: If AI reaches the point where it can do the cognitive work humans do, robots will proliferate. Standard data on US industry implies a fully automated economy could double its output roughly every year. Damon Binder, Senior Researcher at Coefficient Giving — August 11, 2026 AI systems now write so fluently that cheating at universities has become ubiquitous and “AI slop” is displacing human writing across the internet. They have begun producing original proofs on long-standing open problems in mathematics. Researchers at the frontier AI companies have largely stopped writing their own code, and the models’ hacking abilities are strong enough that the US government temporarily export-controlled Anthropic's Claude Fable 5, days after its release. Ten years ago, every claim in this paragraph would have sounded like science fiction. It is easy to become numb to this progress. Today's AI agents remain endearingly clumsy; watching Claude run a small store is a bit like watching a child running a lemonade stand. But we should not let such awkwardness distract from the trend. These systems have evolved from research curiosities to extremely powerful economic engines in 10 years, with no end in sight. I want to take [...] --- Outline: (03:17) Why AGI Gives You Robots (06:50) Machine Labor Will Be Cheap (08:20) Input-Output Analysis (11:38) How Fast Could an Autonomous Economy Grow? (17:03) From Investment Boom to Unprecedented Growth (20:50) What Could Stop an AI Industrial Explosion? (24:01) Power Without People (26:15) Discussion about this post (26:19) Ready for more? --- First published: August 11th, 2026 Source: https://newsletter.ai-frontiers.org/p/agi-will-set-off-an-industrial-explosion --- 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. Aug 5

    “An International AI Slowdown Is Ready Whenever Politicians Are” by AI Frontiers

    Subtitle: Skeptics of an AI slowdown deal with China say we’d need futuristic tech to make it cheat-proof. Instead, the US and China could just give auditors comprehensive access to major AI companies. Felix Choussat, Visiting Policy Researcher at the Center for AI Safety and Adam Khoja, Researcher at the Center for AI Safety — August 5, 2026 On July 28, over a thousand employees of the world's top AI companies advocated that the US government “support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development.” Following months of cybersecurity scares and their own loss of control incidents, both OpenAI and Anthropic officially endorsed the same message, recognizing the danger of blindly accelerating AI development. Despite this new urgency, many people argue that coordinating an international slowdown is currently unworkable—including some of the same groups in favor of one. Even if the US slowed down its own AI development, it wouldn’t be able to make sure that China was doing the same, leaving the US no choice but to race. These anti-slowdown arguments usually emphasize the technical challenges with designing AI monitoring measures to ensure a slowdown [...] --- Outline: (05:01) Enforcing a Slowdown Through Whole-Lab Inspections (09:39) Joint Verification (13:47) Benefits of Slowdown (16:10) An AI Slowdown Does Not Require New Technology (18:29) Discussion about this post (18:33) Ready for more? --- First published: August 5th, 2026 Source: https://newsletter.ai-frontiers.org/p/an-international-ai-slowdown-is-ready --- 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. Aug 3

    “AI Jailbreak Disclosure Is Broken. Here’s How to Fix It” by AI Frontiers

    Subtitle: Researchers who find dangerous flaws in frontier models have nowhere safe to report them. AI needs the disclosure system that cybersecurity built decades ago. Rich Barton-Cooper, Research Manager at MATS and Adam Gleave, CEO of FAR.AI — August 3, 2026 Frontier AI developers deploy significant safeguards to prevent their AI models from being misused. However, these safeguards are not robust: AI researchers consistently find techniques for circumventing them, commonly known as “jailbreaks.” Once companies learn about a jailbreak, they can usually implement a fix; yet AI researchers currently lack a safe and reliable way to inform AI companies about the jailbreaks they’ve discovered. We propose concrete improvements to the current system based on cybersecurity norms of responsible disclosure. Addressing this problem is urgent. Frontier AI models are already being abused by malicious actors: terrorist group Boko Haram is reported to be training its members on jailbreaking techniques in order to troubleshoot weapons, design new explosive devices, and plan attacks. Some former Boko Haram members stated an unequivocal willingness to use chemical or biological weapons—a task jailbroken models may already be able to help with today. With model capabilities continuing to rapidly accelerate—including in offensive cyber, where jailbreaks [...] --- Outline: (04:11) There Is No Good Way to Report Jailbreaks (06:12) Current Reporting Mechanisms Are Limited (11:19) Fear of Liability May Incentivize Vendors to Ignore Reports (12:26) Established Channels Are Often Covered by Powerful NDAs (15:11) Labs Grade Jailbreaks Without Oversight (16:27) The System Today Looks Increasingly Fragile (17:46) Proposals for Better Disclosure Practices (24:26) Relevant Parties Should Act Now (27:16) Discussion about this post (27:21) Ready for more? --- First published: August 3rd, 2026 Source: https://newsletter.ai-frontiers.org/p/ai-jailbreak-disclosure-is-broken --- 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.

  6. Jul 29

    “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.

  7. Jul 20

    “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.

  8. Jul 20

    “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.

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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

Information

  • Creator
    Center for AI Safety
  • Years Active
    2025 - 2026
  • Episodes
    71
  • Rating
    Clean
  • Copyright
    © 2026 All rights reserved
  • Show Website
    AI Frontiers

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