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 moreSoftware
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 moreCommunity
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 moreNews and updates
Keep informed about our research results, software tools, and community developments.
$83,000 grant awarded to Modeling Cooperation
We're grateful to announce the continued support from the Survival and Flourishing Fund (SFF). Thanks to the $83,000 grant funded by Jaan Tallinn, we're looking forward to advancing our collaborations with other AI governance academics by building research software tools and conducting research on improving cooperation in competition toward the development of transformative AI.
Previous posts
- Announcing the Safety-Performance Tradeoff web app
- Progress report 2021-H2
- $83,000 grant awarded to Modeling Cooperation
- Progress report 2021-H1
- Progress report 2020-H2
- How we build simulations
- $74,000 grant awarded to Modeling Cooperation
- Release of the Monte Carlo simulation tool bl.cli
- Progress report 2020-H1
