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The National Center for Missing and Exploited Children said it received more than 1 million reports of AI-related child sexual abuse material (CSAM) in 2025. The "vast majority" of that content was reported by Amazon, which found the material in its training data, according to an investigation by Bloomberg. In addition, Amazon said only that it obtained the inappropriate content from external sources used to train its AI services and claimed it could not provide any further details about where the CSAM came from.
"This is really an outlier," Fallon McNulty, executive director of NCMEC's CyberTipline, told Bloomberg. The CyberTipline is where many types of US-based companies are legally required to report suspected CSAM. "Having such a high volume come in throughout the year begs a lot of questions about where the data is coming from, and what safeguards have been put in place." She added that aside from Amazon, the AI-related reports the organization received from other companies last year included actionable data that it could pass along to law enforcement for next steps. Since Amazon isn't disclosing sources, McNulty said its reports have proved "inactionable."
"We take a deliberately cautious approach to scanning foundation model training data, including data from the public web, to identify and remove known [child sexual abuse material] and protect our customers," an Amazon representative said in a statement to Bloomberg. The spokesperson also said that Amazon aimed to over-report its figures to NCMEC in order to avoid missing any cases. The company said that it removed the suspected CSAM content before feeding training data into its AI models.
Safety questions for minors have emerged as a critical concern for the artificial intelligence ind
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