Model Safety
Noun · AI & Machine Learning
Definitions
The set of behaviors, controls, and evaluation practices aimed at preventing harmful, unsafe, or policy-violating model outputs and actions. Model safety work spans training, prompting, filters, monitoring, and product design.
In plain English: Keeping model behavior within safe and acceptable boundaries.
Example: "They added a separate review gate for model safety because the assistant was being exposed to regulated customer messages."