Modeling Cooperation
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$290,000
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Support score: 0OrganizationAI governance
Our objective is to enhance our understanding of the dynamics of competition for transformative AI to mitigate the risks they pose or prevent them altogether. To achieve this goal, we conduct long-term research aimed at improving cooperation in such competitions. This entails developing and analyzing models of transformative AI competitions to identify strategies that can incentivize competitors to prioritize safety. Additionally, we create reliable software tools for researchers to explore future scenarios and the impact of policy proposals. We utilize game theory, computational modeling, and software engineering to investigate the dynamics of competition and develop strategies that prioritize safe governance of transformative AI.
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