A 6–12 month affiliate program that provides salary, community and operational support for individual researchers pursuing “PIBBSS-style” AI alignment work grounded in parallels between intelligent behaviour in natural and artificial systems.
Endorsements support PIBBSS.
A 6–12 month affiliate program that provides salary, community and operational support for individual researchers pursuing “PIBBSS-style” AI alignment work grounded in parallels between intelligent behaviour in natural and artificial systems.
Endorsements support PIBBSS.
People– no linked people
Updated 05/18/26 · By grantmaking.aiProject Details
Updated 05/18/26 · By grantmaking.aiThe PIBBSS Affiliate Program extends PIBBSS’s work beyond its summer fellowship by offering longer-term, highly tailored support to individual researchers whose work fits the “PIBBSS bet” on learning from intelligent behaviour in natural systems. Launched after the first fellowship cohorts, the program aims to counterfactually increase substantial and legible research progress on problems in AI risk, alignment and governance by giving promising researchers 6–12 months of full-time salary, integration into the PIBBSS research community and significant operational backing. Affiliates are supported to scope and refine their own research agendas, test novel or neglected research directions, publish insightful results, and either join existing research groups or found new ones, with success scenarios including maturing a research agenda enough to secure independent funding or institutional roles in AI alignment.
Theory of Change
Updated 05/18/26 · By grantmaking.aiThe Affiliate Program assumes that there are high-potential researchers who could make substantial contributions to AI risk, alignment and governance if given flexible, longer-term support to pursue their own agendas. By providing these researchers with 6–12 months of salary, integration into the PIBBSS community and hands-on operational support, the program aims to unblock them to develop and test ambitious research directions that build on PIBBSS-style analogies between natural and artificial intelligent systems. Successful affiliates are expected to generate high-quality, legible research outputs, join or found research groups and secure independent funding, thereby expanding the pool of experienced alignment researchers and strengthening the field’s conceptual foundations.
Grants Received– no grants recorded
Updated 05/18/26 · By grantmaking.aiDiscussion
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