How human-AI feedback loops alter human perceptual, emotional and social judgements

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: Repeated interaction with biased AI altered human judgments and amplified bias more than comparable human interaction. Participants often underestimated the AI influence.

Impact: Strengthen correction, counterevidence, and independence checks. Reject passive repeated exposure as a safe reliance model.

Boundary: Judgment tasks and selected algorithms do not map directly to repository work. Next: which correction and provenance signals reduce feedback-loop effects in sustained, open-ended collaboration?

Flags: perceptual and social-task transfer

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 29. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 28. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence