Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Human-authored rules could identify useful delegation regions in the studied setting, but creating reliable rules became harder under distribution shift and explanations did not guarantee better performance.

Impact: Watch bounded conditional delegation for stable, observable regions. Strengthen distribution-shift checks before reusing a rule.

Boundary: The work uses relatively low-stakes keyword moderation and an experimental interface. Next: can delegation rules remain legible and safe in open-ended workflows with changing models?

Flags: preprint; content-moderation labels; induced distribution shift

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

Inspect original source

Recorded chart appearances

  • 2026-10-13: position 30. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 29. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence