ModelRefs / Safety Training — AI Glossary

Safety Training — AI Glossary

Fine-tuning and RLHF processes designed to make models refuse harmful requests, avoid dangerous capabilities, and behave honestly.

Overview

Safety training encompasses: supervised fine-tuning on safe demonstrations, RLHF with human feedback penalizing harmful outputs, Constitutional AI (Anthropic's self-critique method), and red-teaming-informed data collection. Safety-capability trade-offs are actively researched; overly aggressive safety training causes refusal of benign requests ('over-refusal').

Reference details

Topicsafety
Last reviewed2026-06-24

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Frequently asked questions

What is Safety Training?

Fine-tuning and RLHF processes designed to make models refuse harmful requests, avoid dangerous capabilities, and behave honestly.

What concepts are related to Safety Training?

Closely related concepts include alignment, guardrails, refusal.