July 13, 2026, (Inside AI) — A new auditing method developed by MIT researchers can determine whether an AI model has been fine-tuned to generate child sexual abuse material (CSAM) without ever producing an image, sidestepping the legal and ethical barriers that have stymied safety checks. Led by graduate student Vinith Suriyakumar and associate professors Ashia Wilson and Marzyeh Ghassemi, the team collaborated with child safety nonprofit Thorn to create a technique that inspects a model’s inte...