Mass shootings, threats against public officials, bombing attempts, and attacks on communities and individuals are an unacceptable and grave reality in today’s world. These incidents are a reminder of how real the threat of violence is—and how quickly violent intent can move from words to action.

People may also bring these moments and feelings into ChatGPT. They may ask questions about the news, try to understand what happened, express fear or anger, or talk about violence in ways that are fictional, historical, political, personal, or potentially dangerous. We work to train ChatGPT to recognize the difference—and to draw lines when a conversation starts to move toward threats, potential harm to others, or real-world planning.

We’re sharing what we do to minimize uses of our services in furtherance of violence or other harm: how our models are trained to respond safely, how our systems detect potential risk of harm, and what actions we take when someone violates our policies. We are constantly improving the steps we take to help protect people and communities, guided by input from psychologists, psychiatrists, civil liberties and law enforcement experts, and others who help us navigate difficult decisions around safety, privacy, and democratized access.

Our Model Spec⁠(opens in a new window) lays out our long-standing principles for how we want our models to behave: maximizing helpfulness and user freedom while minimizing the risk of harm through sensible defaults.

We work to train our models to refuse requests for instructions, tactics, or planning that could meaningfully enable violence.

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