A nonprofit research organization that runs interdisciplinary fellowship and affiliate programs bringing researchers from complex systems sciences (neuroscience, ecology, economics, physics, and others) to work on AI safety and alignment research.
A nonprofit research organization that runs interdisciplinary fellowship and affiliate programs bringing researchers from complex systems sciences (neuroscience, ecology, economics, physics, and others) to work on AI safety and alignment research.
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Updated 05/18/26Funding Details
Updated 05/18/26- Annual Budget
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Org Details
Updated 05/18/26Principles of Intelligent Behavior in Biological and Social Systems (PIBBSS) was co-founded in late 2021 by Nora Ammann and Tushita (TJ) Jha, with the inaugural fellowship running in summer 2022. The organization was established on the premise that safe development of AI systems is not grounded in a mature science, and that a wide variety of natural and social systems exhibit properties similar to those found in AI -- adaptation, robustness, goal-directed behavior, learning, modularity, and phase transitions. By facilitating careful analogies with these complex systems, PIBBSS aims to transfer knowledge about intelligent behavior to the study of alignment and AGI. The organization initially operated in the Czech Republic with fiscal sponsorship from Epistea, then relocated operations to London, and subsequently established a permanent US presence. It rebranded its umbrella entity to Principles of Intelligence (PrincInt), incorporated as a 501(c)(3) nonprofit in Minnesota (EIN 33-4129337), and now hosts both the PIBBSS Fellowship and the Iliad applied mathematics research group. The flagship PIBBSS Fellowship is a three-month summer program (June through September) in London that pairs approximately 20 researchers from fields studying complex and intelligent behavior with established AI safety mentors. Fellows receive a $4,000/month stipend plus $1,000/month housing allowance, with meals and travel costs covered. The fellowship includes an eight-week pre-program reading group, multi-day retreats, and culminates in a final symposium. Specialized tracks include a Cooperative AI track (supported by the Cooperative AI Foundation) for up to 6 fellows focusing on multi-agent risks, and a Gradual Disempowerment track (supported by ACS Research) for up to 4 fellows studying systemic existential risks from incremental AI development. Beyond the fellowship, PIBBSS runs an Affiliate Program offering 6-12 months of tailored support for established researchers with stipends of $6,000-10,000/month, a Research Residency in applied mathematics with Iliad in London, and Horizon Scanning initiatives to proactively identify new fields to integrate into AI safety. The organization has also partnered with the Fields Institute for a two-year postdoctoral position in Mathematics for AI Safety based in Toronto. As of 2025, PIBBSS has supported approximately 50 researchers through its fellowship program over four cohorts. Alumni have gone on to work at organizations including Anthropic, OpenAI, the UK AI Safety Institute, and universities such as Oxford and Harvard. Alumni have also founded their own organizations, including Simplex. The organization is funded by Open Philanthropy, the Survival and Flourishing Fund, the AI Safety Tactical Opportunities Fund, the Cooperative AI Foundation, the Long-Term Future Fund, and the Foresight Institute.
Theory of Change
Updated 05/18/26PIBBSS, now a project of Principles of Intelligence, aims to reduce risks from advanced AI by importing insights from disciplines that study intelligent behaviour in natural and social systems into AI safety research. It does this by supporting researchers through programs such as a summer fellowship, affiliate appointments and research residencies, giving them funding, mentorship and community to work on alignment, governance and risk projects grounded in these analogies. By helping talented academics transition into AI safety and produce substantial, legible research on intelligent behaviour across biological, social and artificial systems, PIBBSS/Principles of Intelligence intends to strengthen the scientific foundations of alignment and increase the likelihood that future AI systems are safe and beneficial.
Grants Received
Updated 05/18/26Projects
Updated 05/18/26A six-week paid research residency in applied mathematics and AI alignment, co-run by PIBBSS and Iliad at the London Initiative for Safe AI in early 2026 for PhD-level or equivalent researchers in math, physics, computer science and related fields.
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.
A 3-month summer research fellowship that pairs PhD and postdoctoral researchers from complex systems and related sciences with AI safety mentors to produce interdisciplinary alignment research.
Discussion
Key risk: Their analogy-driven strategy has produced few standout research hits so far, and because many fellows are already senior and get placed without much additional support, the counterfactual impact of marginal funding on concrete alignment progress may be limited.
Case for funding: PIBBSS is uniquely positioned to pull senior cross-disciplinary researchers into AI safety via its fellowship and affiliate programs, with a demonstrated placement record at Anthropic, OpenAI, and the UK AISI and targeted tracks (Cooperative AI, Gradual Disempowerment) that can seed novel alignment agendas underexplored elsewhere.