Portrait de Marc-Antoine Guérard

Marc-Antoine Guérard

marc-antoine.guerard@mila.quebec
Directeur, communications et opérations, Bureau de Yoshua Bengio

Publications

International AI Safety Report: First Key Update, Capabilities and Risk Implications
Prof. Yoshua Bengio
Stephen Clare
Carina Prunkl
Maksym Andriushchenko
BEN BUCKNALL
Philip Fox
Tiancheng Hu
Cameron Jones
Sam Manning
Nestor Maslej
Vasilios Mavroudis
Conor McGlynn
Malcolm Murray
Shalaleh Rismani
Charlotte Stix
Lucia Velasco
Nicole Wheeler
Daniel Privitera
Sören Mindermann
Daron Acemoglu … (voir 36 de plus)
Thomas G. Dietterich
Fredrik Heintz
Geoffrey Hinton
Nick Jennings
Susan Leavy
Teresa Ludermir
Vidushi Marda
Helen Margetts
John McDermid
Jane Munga
Arvind Narayanan
Alondra Nelson
Clara Neppel
Sarvapali D. (Gopal) Ramchurn
Stuart Russell
Marietje Schaake
Bernhard Schölkopf
Alvaro Soto
Lee Tiedrich
Gael Varoquaux
Andrew Yao
Ya-Qin Zhang
Lambrini Das
Claire Dennis
Arianna Dini
Freya Hempleman
Samuel Kenny
Patrick King
Hannah Merchant
Jamie-Day Rawal
Rose Woolhouse
Jonathan Barry
Marc-Antoine Guérard
Claire Latendresse
Cassidy MacNeil
Benjamin Prud'homme
The field of AI is moving too quickly for a single yearly publication to keep pace. Significant changes can occur on a timescale of months, … (voir plus)sometimes weeks. This is why we are releasing Key Updates: shorter, focused reports that highlight the most important developments between full editions of the International AI Safety Report. With these updates, we aim to provide policymakers, researchers, and the public with up-to-date information to support wise decisions about AI governance. This first Key Update focuses on areas where especially significant changes have occurred since January 2025: advances in general-purpose AI systems' capabilities, and the implications for several critical risks. New training techniques have enabled AI systems to reason step-by-step and operate autonomously for longer periods, allowing them to tackle more kinds of work. However, these same advances create new challenges across biological risks, cyber security, and oversight of AI systems themselves. The International AI Safety Report is intended to help readers assess, anticipate, and manage risks from general-purpose AI systems. These Key Updates ensure that critical developments receive timely attention as the field rapidly evolves.
2025-10-21
SuperIntelligence - Robotics - Safety & Alignment (publié)
doi.org
International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
Yoshua Bengio
Stephen Clare
Carina Prunkl
Maksym Andriushchenko
BEN BUCKNALL
Philip Fox
Tiancheng Hu
Cameron Jones
Sam Manning
Nestor Maslej
Vasilios Mavroudis
Conor McGlynn
Malcolm Murray
Shalaleh Rismani
Charlotte Stix
Lucia Velasco
Nicole Wheeler
Daniel Privitera
Sören Mindermann
Daron Acemoglu … (voir 36 de plus)
Thomas G. Dietterich
Fredrik Heintz
Geoffrey Hinton
Nick Jennings
Susan Leavy
Teresa Ludermir
Vidushi Marda
Helen Margetts
John McDermid
Jane Munga
Arvind Narayanan
Alondra Nelson
Clara Neppel
Sarvapali D. (Gopal) Ramchurn
Stuart Russell
Marietje Schaake
Bernhard Schölkopf
Alvaro Soto
Lee Tiedrich
Gael Varoquaux
Andrew Yao
Ya-Qin Zhang
Lambrini Das
Claire Dennis
Arianna Dini
Freya Hempleman
Samuel Kenny
Patrick King
Hannah Merchant
Jamie-Day Rawal
Rose Woolhouse
Jonathan Barry
Marc-Antoine Guérard
Claire Latendresse
Cassidy MacNeil
Benjamin Prud’homme
Since the publication of the first International AI Safety Report, AI capabilities have continued to improve across key domains. New trainin… (voir plus)g techniques that teach AI systems to reason step-by-step and inference-time enhancements have primarily driven these advances, rather than simply training larger models. As a result, general-purpose AI systems can solve more complex problems in a range of domains, from scientific research to software development. Their performance on benchmarks that measure performance in coding, mathematics, and answering expert-level science questions has continued to improve, though reliability challenges persist, with systems excelling on some tasks while failing completely on others. These capability improvements also have implications for multiple risks, including risks from biological weapons and cyber attacks. Finally, they pose new challenges for monitoring and controllability. This update examines how AI capabilities have improved since the first Report, then focuses on key risk areas where substantial new evidence warrants updated assessments.
2025-10-14
arXiv (prépublication)
doi.org
arxiv.org