Science of Trustworthy AI RFP
Supports trustworthy artificial intelligence research that improves safety, transparency, and reliability in practical systems.
The 2026 Science of Trustworthy AI RFP, issued by Schmidt Sciences, invited individual researchers, research teams, universities, national laboratories, institutes, and nonprofits globally to propose foundational technical research on AI safety. The RFP defined three core research aims: characterizing and forecasting misalignment in frontier AI systems; developing generalizable measurements and in…
Foundational technical research on AI safety, including characterizing misalignment in frontier systems, generalizable safety measurements and interventions, and oversight under capability gaps.
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