When AI systems retain information they should not, the damage is not abstract. It can affect hiring decisions, credit approvals, healthcare outcomes, and reputation.

In this episode of The Unlearning Room by Forget, we explore liability in the age of AI memory. If a model recalls deleted data, reinforces bias, or exposes sensitive information, who carries the risk? The developer, the deployer, the enterprise, or the infrastructure provider?

We also examine how the Forget Protocol introduces verifiable unlearning as a way to reduce exposure and demonstrate responsible model governance.