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Inside a Debate at OpenAI Over Mass Shootings

Explore episode Jun 26, 2026
Technology
Only 15–30 Cases Referred to Police Per Year

Inside a Debate at OpenAI Over Mass Shootings · Jun 26, 2026 Technology

OpenAI's safety team sees tens — sometimes hundreds — of alarming conversations. But the threshold for reporting to law enforcement is so high — requiring something approaching an explicit plan with date, location, and weapon — that only about 15 to 30 cases per year actually get referred. Some employees thought that was dangerously low.

Where this was said

OpenAI's Response and the Scale of the Problem

At 8:30 · chapter starts 4:30

Ryan Knutson steps back to provide context: OpenAI has millions of users doing ordinary things — recipe searches, vacation planning — but as Georgia Wells explains, it doesn't take many bad actors on a platform of this size to create serious public safety risk. OpenAI has an automated system that scans every conversation for signs of potential violence, with the most alarming cases escalated for human review by employees with backgrounds in law enforcement or counterterrorism. OpenAI has said it does not believe ChatGPT caused Eichner's actions and that it proactively shared logs with law enforcement after the shooting. But the episode frames a harder question: what about before? The FSU shooting is revealed to be one of at least two known instances in which mass shooting suspects used ChatGPT to discuss violent attacks — the second being a case in Canada that will become the episode's central horror.

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