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PRISM | Peer-vetted Research Initiative for Safety Methodologies

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PRISM is a 16-week AI safety research fellowship that uses peer-driven selection to address the mentor bottleneck in scaling underrepresented talent.

Teams of 4 dive deep into specific safety domains, including cooperative AI, mechanistic interpretability, RLHF robustness, evaluation methodology, and AI governance. Each member surfacing unique research papers before pitching methodologies. Democratic selection of the strongest approaches. Winning methodology becomes the team's project. Intensive research sprints with mentor oversight. Teams establish baselines, iterate on results, and determine final output direction. Final outputs are polished and released—whether as peer-reviewed papers submitted to top conferences or production-ready Pyt

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