Description: Modeling Cooperation conducts game theory & computational modeling research to reduce risks from competition for transformative AI and builds software tools.
long-term future research (1) risks of artificial intelligence (1) computational artificial intelligence (1) artificial intelligence governance (1) artificial intelligence safety (1)
We conduct long-term future research on improving cooperation in competition for the development of transformative artificial intelligence (AI).
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.
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.