Model Alignment
Noun · AI & Machine Learning
Definitions
The extent to which a model's behavior matches intended goals, human values, policy constraints, or task requirements. Model alignment is a broad concern spanning safety, steerability, and usefulness.
In plain English: How well a model's behavior matches the goals and rules people want it to follow.
Example: "They treated refusal quality as part of model alignment because the assistant needed to decline unsafe requests without becoming unusably restrictive."