Frontier AI Safety Research (FAIR)
FAIR (Frontier AI Safety Research) is a nonprofit research organization founded in 2024 at the University of Buenos Aires (UBA IALAB) in Argentina. The organization views AI safety as a sociotechnical challenge requiring alignment of AI systems with human values through both technical innovation and deep understanding of social contexts. FAIR's work spans technical AI safety, cognitive science, law, and sociology, with a focus on AI evaluations, AI governance, AI risks, and AI alignment. A key mission is building AI safety research capacity in Latin America while fostering global collaboration.
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Theory of Change
FAIR believes that the global AI safety field currently lacks sufficient diversity of perspectives, particularly from the Global South. By building a research hub at the University of Buenos Aires, FAIR aims to cultivate Latin American talent that can contribute to global AI safety efforts. The organization holds that treating AI safety as a purely technical problem is insufficient; integrating cognitive science, law, and sociology into safety research produces more robust and applicable solutions. By publishing research at top venues, training local researchers, and engaging international collaborators and policymakers, FAIR seeks to expand the breadth and quality of the global AI safety research ecosystem, ultimately contributing to reduced risks from misaligned or unsafe frontier AI systems.
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- Last Updated
- Apr 2, 2026, 10:10 PM UTC
- Created
- Mar 19, 2026, 10:30 PM UTC