Impersonation

Impersonation in AI governance refers to the ability of language models or AI systems to mimic the voice, writing style, or identity of specific individuals, which creates risks for authentication, consent, and trust. This matters for compliance because impersonated communications could be used to deceive employees, customers, or business partners into disclosing sensitive information or approving fraudulent transactions, potentially violating data protection laws and creating liability for the organization. Enterprises need controls to detect impersonation risks, authenticate AI-generated content when needed, and establish policies about when and how AI systems can be used to generate communications on behalf of people or institutions.

1 item