MIT Develops Tool to Detect AI Models Trained on Child Abuse Material

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Researchers at MIT have developed a new method to identify AI models that were trained using child sexual abuse material (CSAM). The technique works by detecting telltale signs within the model itself, without requiring the system to generate any harmful imagery. This approach addresses a critical gap in AI safety, as existing tools largely focus on detecting abusive content rather than the models producing it. The method could help regulators and platforms flag potentially dangerous AI systems before they cause harm.

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ProgrammingDEV Community ·

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