FAR.AI (@farairesearch)
@farairesearch
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As AI systems become more capable, understanding their potential for misrepresentation becomes increasingly important. FAR AI publishes open research on this emerging area.
FAR AI develops and applies red-teaming methodologies to identify failure modes in frontier AI — contributing rigorous evaluation frameworks to the broader research community.
Our global workshop series brings together researchers to share findings, discuss open problems, and collaborate on approaches to AI safety. Next stop: Seoul, July 2026.
The FAR AI Technical Innovations for AI Policy conference connects leading technical researchers with policymakers — translating research findings into actionable guidance.
FAR AI is a non-profit research organization working on alignment, robustness, and evaluation of frontier AI systems. We're looking for people who want to focus on what matters.
FAR AI supports the global field of trustworthy AI through open publications, collaborative events, and programs for emerging researchers. Learn how you can get involved.
FAR AI investigates concrete problems: how AI models behave under adversarial conditions, how deception manifests, and how to evaluate systems reliably before deployment.
