AI Deception: Risks, Dynamics, and Controls

Understand

As intelligence increases, so does its shadow.

• AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved from a speculative concern to an empirically demonstrated risk across language models, AI agents, and emerging frontier systems.
• This project provides a comprehensive and up-to-date overview of the AI deception field, covering its core concepts, methodologies, genesis, and potential mitigations.
• First, we identify a formal definition of AI deception, grounded in signaling theory from studies of animal deception.