Cover Image for AI Governance Reading Group – Verifying Restrictions on Frontier AI Research
Cover Image for AI Governance Reading Group – Verifying Restrictions on Frontier AI Research
Communauté montréalaise pour la sécurité, l’éthique et la gouvernance de l’IA. // Montréal community for AI safety, ethics, and governance.

AI Governance Reading Group – Verifying Restrictions on Frontier AI Research

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About Event

​AI Governance Reading Group

​Each month, we gather to discuss an important AI governance paper. We recommend reading the paper before and to come with your commentary and insights. Discussion bilingue.

​Groupe de lecture sur la gouvernance de l'IA

​Chaque mois, nous nous rencontrons pour discuter un papier important en gouvernance de l'IA. Nous recommandons lire le papier avant et de venir avec votre commentaire et bonnes idées.

​The paper this time:

​Verifying Restrictions on Frontier AI Research (Scher, MIRI, 2026) — https://arxiv.org/abs/2606.28694

​The premature development of artificial superintelligence poses major risks to humanity, so researchers have proposed international agreements halting such development until it can be done safely. AI progress depends primarily on compute, algorithms, and data; a durable halt would address all three so that advances in one input do not counteract restrictions on another. Improvements to AI algorithms are driven largely through research activities, so this research may need to be restricted during a halt. Given low international trust, signatories will want to verify compliance. This paper analyzes how such restrictions on AI research could be verified, while remaining agnostic about what specific research would be prohibited. It first explores key considerations that affect the verifiability of research restrictions, such as the computational infrastructure necessary for experiments. It then catalogs 28 candidate verification mechanisms. These mechanisms include whistleblowers, search warrants, reviews of AI training code, standard intelligence gathering tools, and more. Some of these mechanisms are not yet implementation-ready, and some might be undesirable upon further inspection. By examining the space of potential options, this work provides a foundation for future research to develop the most promising mechanisms into deployable tools.

​Où / Where

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Location
Omega Labs
3813 R. Saint-Denis, Montréal, QC H2W 2M4, Canada
Hybrid event, also join us online via Zoom (at 6:15 PM): https://zoom.us/j/99005830598?pwd=3e21GRcTVAPTbvGO…
Communauté montréalaise pour la sécurité, l’éthique et la gouvernance de l’IA. // Montréal community for AI safety, ethics, and governance.