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How Laws Against Child Sexual Abuse Imagery Can Make It Harder to Detect

The new technologies could also intensify privacy concerns: More images may come under review as human moderators are called on to help ensure accuracy and weed out false positives.

Steel, a forensic specialist, said that while artificial intelligence and machine learning were constantly improving in the area of image recognition, abusive imagery of children was particularly difficult to detect because of the age of the victims.

The surgeon, Guy Rosenschein, argued in court that Microsoft was acting as a government agent because it used data from the National Center for Missing and Exploited Children, the federally designated nonprofit organization that serves as a national clearinghouse for child sexual abuse imagery.