Model refusal occurs when an AI declines to generate harmful, biased, or unsafe content, acting as a built-in safety mechanism. It is used to filter outputs during training and live interactions, blocking requests for illegal acts, hate speech, or misinformation. Developers, content moderators, and end-users benefit from reduced liability, improved trust, and safer digital environments.
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