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  5. Alignment Research
Safety & Alignment

Alignment Research

The field studying how to make AI systems reliably pursue intended goals — interpretability, oversight, reward modeling, and verification.

Ask Melo about this← all terms

It sits between capability research and product safety: papers on specification gaming, scalable oversight, and deceptive alignment are alignment research even when they do not ship a filter. Labs fund it because failures at deployment are expensive, and because future systems may be harder to evaluate by inspection.

Related terms

AI AlignmentScalable OversightInterpretabilitySpecification GamingPacing the FrontierCopyright Management Information (CMI)

Where Alignment Research comes up

  • Paul Christiano Joins OpenAI Foundation Board and Safety Committee
  • Hugging Face Open Alignment Team: What Builders Can Use Today
  • Anthropic: Automated Researchers Can Reliably Mitigate Alignment Failures
  • OpenAI Beneficial Trait RL: When Good Alignment Generalizes Like Bad Alignment