Safe completion – Definition & Meaning

Definition of safe completion

: a language-model safety approach that trains a model to give the most useful answer it can within safety constraints, judging the risk of the output rather than forcing a binary choice between full compliance and refusal based mainly on the prompt
- The assistant used a safe completion to explain the general safety principles without supplying operational details that could enable harm.
- Safe-completion training rewarded the model for offering a constructive alternative instead of ending with a blanket refusal.

Origin & history

first known use2025

OpenAI introduced safe-completion training with GPT-5 in August 2025 as an output-centered alternative to refusal-based safety training, especially for dual-use requests whose intent may be unclear. The approach continued to appear in later OpenAI model specifications and system cards, including the October 2026 GPT-6 update.

Test yourself

Which of these is the meaning of safe completion?

Related terms

guardrails rules, filters, and checks placed around an AI system to keep its outputs and actions within… alignment the work of making an AI system's goals and behavior match what its designers and users… post-training everything done to a model after pre-training to make it useful and safe, such as instruction… RLHF reinforcement learning from human feedback: a training method in which people rate or compare… jailbreak a prompt or trick designed to get an AI model to ignore its safety rules and produce content… AI safety the field concerned with making AI systems behave as intended and avoid causing harm, from…

Cite this entry

"Safe completion." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/safe-completion/. Accessed 8 Oct. 2026.