Bilateral AI Risk

Bilateral AI risk refers to potential harms that emerge from interactions between two AI systems or between an AI system and human operators in a relationship of mutual dependence. This concept is particularly relevant for enterprise governance because organizations increasingly deploy multiple AI systems that must interoperate, creating complex failure modes that single-system risk frameworks may not capture. Understanding bilateral AI risk helps compliance teams identify coordination failures, conflicting objectives, and cascading errors that could compromise business operations or regulatory standing.

1 item