2026 is not just another year for artificial intelligence. It is the moment trust stopped being enough.

In this episode of The Unlearning Room by Forget, we explore why AI systems are now expected to prove how they behave, not just explain how they were built. We talk about audits that test models instead of reading policies, why regulators are shifting from intent to evidence, and what accountability really means for teams shipping AI today.

This conversation looks at the growing gap between internal compliance claims and external verification, and how protocols like Forget are emerging to make AI unlearning and model behavior observable, testable, and provable in the real world.

If you build, deploy, or regulate AI, this episode explains why 2026 quietly changed the rules.