We don't have a widely trusted method for verifying that an AI model hasn't been tampered with after training.
open
Global / Unspecified, Global
Once an AI model is deployed, verifying that it hasn't been subtly altered or poisoned after the fact remains technically difficult. This creates a trust gap for AI systems used in sensitive applications like finance or healthcare.
Citation ID: WS00688
Title: We don't have a widely trusted method for verifying that an AI model hasn't been tampered with after training.
URL: https://worldsolve.org/index.php?api=problem&id=688