Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork

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: Predictable performance can be worth a small loss in stand-alone accuracy when final decision quality, verification cost, human skill, and mistake cost are considered.

Impact: Watch team utility as an analysis aid. Reject collapsing Breadcrumbs' separate quality, burden, authority, and recovery measures into one score.

Boundary: The utility model assumes a structured accept-or-solve interaction. Next: which variables can inform a decision without becoming a universal optimization target?

Flags: utility assumptions; structured high-stakes datasets

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 56. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 55. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence