Deliberative Alignment

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

• Alignmentconcept0.819
  The goal of making model behavior match human values and intentions, often addressed during post-training.
• Representational Alignmentconcept0.803
  Measure of similarity between the similarity structures (kernels) induced by two different representations
• Inner Alignmentconcept0.770
  Meta-problem where AI develops hidden subgoals deviating from intended goals; addressed by mindfulness principle
• Alignment Functionconcept0.769
  A learnable invertible transformation in DAS that maps neural representations to a basis aligned with causal variables
• Data-Centric Alignmentconcept0.759
  Alignment approach that focuses on curating or modifying training data; the paper bridges this with interpretability methods.
• Distributed Alignment Searchmethod0.759
  The core method introduced in this paper: finds alignments between high-level causal variables and distributed neural representations via gradient descent.
• Alignment Problemconcept0.755
  The problem of ensuring AI systems adopt values compatible with human welfare — argued to be a perennial problem already present in child-rearing
• AI alignmentconcept0.750
  Field within which this work has implications for evaluating alignment progress.