Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

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: A more accurate model update can reduce team performance when its new errors violate the human participant's learned expectations.

Impact: Strengthen version-change compatibility and revalidation. Reject higher model accuracy as sufficient evidence that an established workflow improved.

Boundary: The experiments use structured classification decisions. Next: which model, prompt, tool, and policy changes should invalidate prior delegation and reliance evidence?

Flags: structured advice tasks; author-family overlap

Record State: Catalog review recorded; not a performance endorsement

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

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Recorded chart appearances

  • 2026-10-13: position 31. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 30. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence