Alignment Research Center

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Alignmentconcept0.789
  The goal of making model behavior match human values and intentions, often addressed during post-training.
• Alignment Problemconcept0.756
  The problem of ensuring AI systems adopt values compatible with human welfare — argued to be a perennial problem already present in child-rearing
• Data-Centric Alignmentconcept0.754
  Alignment approach that focuses on curating or modifying training data; the paper bridges this with interpretability methods.
• Representational Alignmentconcept0.750
  Measure of similarity between the similarity structures (kernels) induced by two different representations
• Alignment Functionconcept0.741
  A learnable invertible transformation in DAS that maps neural representations to a basis aligned with causal variables
• Alignment Typeconcept0.737
  The only statistically significant predictor of koan battery scores (p=0.006); includes Constitutional AI, RLHF, SFT, roleplay, empathy
• A General Language Assistant as a Laboratory for Alignment (Askell et al. 2021)concept0.732
  HHH training framework that Claude was trained with prior to experiments
• AI alignmentconcept0.727
  Field within which this work has implications for evaluating alignment progress.