MIT's New Method Flags AI Models Trained on CASM Without Generating It

MIT researchers have developed a new auditing method called Gaussian probing to detect if AI models have been fine-tuned to generate CSAM without needing to trigger the generation itself. This technique allows for safety testing while avoiding the legal and ethical pitfalls of creating illegal content.
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.
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