oin us for the launch of Princeton AI Alignment + Safety, a new research initiative dedicated to developing the scientific foundations needed to make increasingly capable artificial intelligence safe and beneficial to humanity.
As AI systems advance toward and beyond human-level capabilities, ensuring that they remain aligned with human values and societal well-being presents fundamental scientific and technical challenges. Princeton AI Alignment + Safety brings together research across machine learning, theoretical computer science, game theory, optimization, control, and economics to address these questions.
The initiative studies how to evaluate increasingly capable AI systems, maintain effective human oversight, design incentives for aligned behavior, understand the interactions of autonomous agents, and investigate how AI systems represent and reason about the world. Research also considers the broader societal implications of increasingly capable AI.
Drawing on Princeton’s strengths across computer science, economics, philosophy, public policy, and the social sciences, Princeton AI Alignment + Safety aims to build a rigorous, durable science of AI alignment—developing mathematical foundations and algorithmic methods that can help ensure AI systems remain beneficial as their capabilities continue to grow.
Join us to learn more about the initiative, meet the researchers behind it, and explore the research questions and vision guiding this new effort at Princeton.
As AI systems advance toward and beyond human-level capabilities, ensuring that they remain aligned with human values and societal well-being presents fundamental scientific and technical challenges. Princeton AI Alignment + Safety brings together research across machine learning, theoretical computer science, game theory, optimization, control, and economics to address these questions.
The initiative studies how to evaluate increasingly capable AI systems, maintain effective human oversight, design incentives for aligned behavior, understand the interactions of autonomous agents, and investigate how AI systems represent and reason about the world. Research also considers the broader societal implications of increasingly capable AI.
Drawing on Princeton’s strengths across computer science, economics, philosophy, public policy, and the social sciences, Princeton AI Alignment + Safety aims to build a rigorous, durable science of AI alignment—developing mathematical foundations and algorithmic methods that can help ensure AI systems remain beneficial as their capabilities continue to grow.
Join us to learn more about the initiative, meet the researchers behind it, and explore the research questions and vision guiding this new effort at Princeton.
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