Research on AI competition dynamics

We conduct long-term future research on improving cooperation in competition for the development of transformative artificial intelligence (AI).

Research

We aim to gain better insight into the dynamics of competition for transformative AI to reduce the risks they pose or to prevent them entirely. We build upon our AI competition models to analyze ways to shift the competitors’ incentives toward more safety.

Learn more

Software

In addition to using game theory, we leverage computational modeling to investigate AI competition dynamics. Therefore, we build reliable research software tools which enable researchers to explore possible future scenarios and the effects of policy proposals.

Learn more

Community

We’re a community of mission-aligned freelancers and volunteers. United by our goal of reducing catastrophic risks from competition for transformative AI, we’re passionate about the research we conduct and the software we build. Join our community to help us reach our goal.

Learn more

News and updates

Keep informed about our research results, software tools, and community developments.

Progress report 2022-H2

We're delighted to share our sixth progress report summarizing the work we conducted during the second half-year of 2022. The report elaborates on our accomplishments including launching the research software tool we built in collaboration with Robert Trager and releasing the first version of the software we implemented in collaboration with Shahar Avin. Additionally, it introduces two new team members and mentions any changes to our strategy and goals since the previous progress report.

Previous posts

All news
Modeling Cooperation is fiscally sponsored by Convergence Analysis.
  • Copyright: Creative Commons License
  • Contact: Email