The AI Governance Archive (TAIGA) is an access-controlled online platform designed to improve coordination among AI governance researchers. It enables researchers to share unpolished and non-public work, discover others' projects, find potential collaborators, request feedback on drafts, and propose new initiatives. Funded by the Long-Term Future Fund and fiscally sponsored by Players Philanthropy Fund, TAIGA aims to reduce duplicated efforts and accelerate progress in AI governance field-building. Access is selective, governed by an explicit access policy to maintain appropriate levels of trust and confidentiality.
Funding Details
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- Funding Raised to Date
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- Fiscal Sponsor
- Players Philanthropy Fund
Theory of Change
TAIGA's theory of change holds that AI governance research is currently hampered by fragmentation and coordination failures — researchers duplicate work, lack visibility into others' projects, and cannot easily find collaborators or access non-public context. By providing a trusted, access-controlled space for researchers to share work-in-progress, coordinate on projects, and network, TAIGA aims to improve the quality and efficiency of AI governance research. Better-coordinated researchers produce higher-quality policy-relevant work more quickly, which improves the prospects of achieving robust and effective AI governance frameworks before transformative AI systems are deployed — thereby reducing existential and catastrophic risk.
Grants Received
from Long-Term Future Fund
Projects
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Details
- Last Updated
- Apr 2, 2026, 10:08 PM UTC
- Created
- Mar 19, 2026, 10:42 PM UTC