The Influence of Decision Aids on User Behavior: Implications for Knowledge Acquisition and Inappropriate Reliance
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Overreliance on AI could compromise the thoroughness of critical thinking and leave students ill-prepared for situations where AI is unavailable or inaccurately applied.
“Furthermore, despite its capacity to propose differential diagnoses and management plans, overreliance on AI could compromise the thoroughness of critical thinking and leave students ill-prepared for situations where AI is unavailable or inaccurately applied [55-57].”
From Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence (2023) · cites this paper as [56]
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- Authors
- Glover, S. M., Prawitt, D. F., & Spilker, B. C.
- Affiliations
- Brigham Young University (US)
- Venue
- Organizational Behavior and Human Decision Processes
- Publisher
- Elsevier BV
- Published
- 1997-11
- Volume
- 72
- Issue
- 2
- Pages
- 232-255
- ISSN
- 0749-5978 (ISSN-L)
- OpenAlex
- W2079306714
- Cited by
- 108
- References
- 57
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 5 · 2022: 1 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 1 · 2017: 1 · 2016: 5 · 2015: 2 · 2014: 3 · 2013: 5 · 2012: 8
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- Locations
- Organizational Behavior and Human Decision Processes (publishedVersion)
- ScholarsArchive (Brigham Young University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Brigham Young University
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
- Keywords
- decision aids, knowledge acquisition, on-the-job learning, expertise development, judgment accuracy, organizational decision-making
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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