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FAR.AI: Frontier Alignment Research
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Events
Events
Programs
Programs
Blog
About
About
Careers Donate
FAR.AI is a research & education non-profit
Ensuring advanced AI is safe and beneficial for everyone.
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ORGANIZATIONS WE'VE WORKED WITH
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Advanced Research + Invention Agency
Mozilla. AI
Schmidt Sciences
UC Berkeley
University of Montreal
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Research
Our research explores a portfolio
of high-potential agendas.
Events
Our events bring together
global leaders in AI.
Programs
Our programs build the field of trustworthy and secure AI
recent & upcoming Events
Building the global field of trustworthy & secure AI.
FAR.AI hosts and delivers a suite of events on safe and beneficial AI.
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Seoul Alignment Workshop 2026
Alignment Workshop
Alignment Workshop
Taking place in Seoul on Monday, July 6, this workshop is part of the ongoing Alignment Workshop series, following prior gatherings in San Diego, Singapore, Vienna, New Orleans, San Francisco, and London. Bringing together global leaders in academia and industry, our goal is to deepen our collective understanding of the potential risks from Artificial General Intelligence (AGI) and collaboratively explore effective strategies for mitigating these risks.
Seoul, South Korea
6 July, 2026
Berkeley ControlConf 2026
Specialized Workshops
Specialized Workshops
ControlConf is a conference dedicated to the emerging field of AI control: the study of techniques that mitigate security risks from AI even if the AI itself is trying to subvert them.
Berkeley, California
18–19 April, 2026
Technical Innovations for AI Policy (TIAP) Conference 2026
Specialized Workshops
Specialized Workshops
FAR.AI, in collaboration with leading think tanks, is organizing the second annual Technical Innovations in AI Policy Conference to connect policymakers with leading AI technical experts.
Washington, DC
March 30–31, 2026
Featured research
Delivering technical breakthroughs for trustworthy frontier AI.
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Frontier LLMs Attempt to Persuade into Harmful Topics
Model Evaluation
July 20, 2025
Large language models (LLMs) are already more persuasive than humans in many domains . While this power can be used f
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