Joshua Tenenbaum

Publications

Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Alignment

This paper introduces Guaranteed Safe (GS) AI, an approach to AI safety that ensures high-assurance quantitative safety guarantees. It relies on three core components—a world model, a safety specification, and a verifier—to mathematically verify that AI systems meet safety requirements.

May 9, 2024
Date Range

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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