Advisory Group on Mathematics and Artificial Intelligence

Institute for Advanced Study


The rapid advances in artificial intelligence (AI) present both opportunities and challenges for mathematical research. We believe that we are at a historic moment for our discipline. Recent events raise urgent questions about how to support the long-term prospects for deep human understanding of mathematics.

Purpose

The purpose of this group is to advise AI companies on their interactions with mathematical research and with the mathematical community, including the responsible presentation and release of mathematical results. We seek to work for the best interest of mathematics and the mathematical community, and to serve as one possible channel of communication between mathematicians and the AI industry.

Independence, Transparency, and Accountability

This group operates independently of any AI company and members do not accept payment for this work. We will publish our recommendations to AI companies on this website. We are willing to offer such recommendations to any AI company whose models are likely to have a significant impact on mathematics. Although we will give advice, we do not have decision making power at any AI company, and the responsibility for the decisions made by any company will rest with that company. 

Advisory Group Members

• François Charles (ENS-PSL)
• Camillo De Lellis (IAS, GSSI)
• Timothy Gowers (Collège de France, Cambridge)
• Martin Hairer (EPFL, Imperial College London)
• Nikhil Srivastava (Berkeley, Simons Institute)
• Ulrike Tillmann (Oxford, INI)
• Ravi Vakil (Stanford)
• Edward Witten (IAS)
• Melanie Matchett Wood (Harvard)

This group came together after OpenAI approached some of its members about establishing an external advisory board. In agreement with OpenAI, they decided to instead create an independent group and invite the others to join.


Current Task

We are currently facing the very specific challenge of advising OpenAI on how to coordinate the release of a large number of significant results in mathematics that they report have been produced by their internal model.

We welcome input from the mathematical community on this question. Please use this form to share your thoughts with us as soon as possible. Your responses will be used to inform our recommendations and will not be made public without your approval.


email: contact@agmai.org