mlsanityData to 14 Oct 2026

AI Recommendations and Non-instrumental Image Concerns

arXiv 2504.19047 ↗First posted 26 Apr 2025econ.GN cs.AI cs.HCcited by 0

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Abstract (arXiv)

There is growing enthusiasm about the potential for humans and AI to collaborate by leveraging their respective strengths. Yet in practice, this promise often falls short. This paper uses an online experiment to identify non-instrumental image concerns as a key reason individuals underutilize AI recommendations. I show that concerns about how one is perceived, even when those perceptions carry no monetary consequences, lead participants to disregard AI advice and reduce task performance.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 51 references that are in the map. First posted on arXiv 26 Apr 2025.

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References · 7

  1. 2017CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learningcited by 461
  2. 2023The Impact of AI on Developer Productivity: Evidence from GitHub Copilotcited by 274
  3. 2022Algorithmic Assistance with Recommendation-Dependent Preferencescited by 12
  4. 2021On the Fairness of Machine-Assisted Human Decisionscited by 11
  5. 2024AI Oversight and Human Mistakes: Evidence from Centre Courtcited by 2
  6. 2023Rethinking Algorithmic Fairness for Human-AI Collaborationcited by 1
  7. 2024Reputational Algorithm Aversioncited by 1

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