AI safety and alignment · MLD-0046

AI safety

Research and engineering aimed at reducing risks and harmful failures from AI systems.

Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.

Original example

Test robustness, oversight, and unintended behavior.

Original caveat

Safety is broader than content filtering.

Context and aliases

Level: Foundational. Stages: Training · Evaluation · Research · Governance.

Tags: Safety · RL · SLM · LLM.

Aliases: None recorded.

Related concepts

Original references

Open original record, export or annotate →