Jacob Steinhardt

Steinhardt studies why capable AI systems can pursue unintended goals and how their inner workings can be made understandable. His research maps reward hacking—when a system exploits flaws in its stated goal—and develops ways to uncover knowledge a model holds but does not reliably state. He also builds open tools for auditing frontier systems.