AI-generated child pornography threatens to overwhelm reporting system: Research
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Child pornography generated by artificial intelligence (AI) could overwhelm the reporting system for online child sexual abuse material, according to a report from the Stanford Internet Observatory. The report highlights that open-source generative AI models can flood the reporting system with millions of new images, making it unmanageable for the National Center for Missing and Exploited Children (NCMEC). The concern is that reports of AI-generated child sexual abuse material, which may be indistinguishable from real photos of children, could divert law enforcement's attention away from actual children in need of rescue. The report recommends that tech companies invest in child safety staffing and implement the NCMEC's reporting API, and suggests that Congress increase the NCMEC's budget to offer competitive salaries and invest in technical infrastructure.
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