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The ethical use of artificial intelligence in human resource management: a decision-making framework
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“Bankins (2021) in her ethical framework for AI in human resource management proposes that organizations must align actual AI use with its intended use by instructing employees on how to interact and rely on AI.”
From Check the box! How to deal with automation bias in AI-based personnel selection (2023) · cites this paper as Bankins (2021)
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The global landscape of AI ethics guidelines
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“The field generally adopts a socio-technical stance (i.e., that social and technological contexts must be examined in tandem, Selbst et al., 2019) and takes the view that AI should be developed and applied by, with, and for people to aid the betterment of humans (e.g., Floridi et al., 2018).”
BackgroundInfluentialAlgorithm aversion: People erroneously avoid algorithms after seeing them err.
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The Ethics of AI Ethics: An Evaluation of Guidelines
Hagendorff, T. (2020) · Minds and Machines · doi:10.1007/s11023-020-09517-8 · Cited by 1,911 · cited 1×
“Recent reviews (e.g., Floridi & Cowls, 2019; Hagendorff, 2020; Jobin et al., 2019) suggest a significant overlap exists across these approaches that supports an emerging global consensus on such ethical principles.”
BackgroundThe Ethics of AI Ethics -- An Evaluation of Guidelines
Hagendorff, T. (2019) · arXiv · doi:10.48550/arxiv.1903.03425 · Cited by 1,907 · cited 1×
“Recent reviews (e.g., Floridi & Cowls, 2019; Hagendorff, 2020; Jobin et al., 2019) suggest a significant overlap exists across these approaches that supports an emerging global consensus on such ethical principles.”
BackgroundA Unified Framework of Five Principles for AI in Society
Floridi, L., & Cowls, J. (2019) · Harvard Data Science Review · doi:10.1162/99608f92.8cd550d1 · Cited by 1,631 · cited 1×
“Recent reviews (e.g., Floridi & Cowls, 2019; Hagendorff, 2020; Jobin et al., 2019) suggest a significant overlap exists across these approaches that supports an emerging global consensus on such ethical principles.”
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Metadata
- Authors
- Bankins, S.
- Affiliations
- Macquarie University (AU)
- Corresponding author
- Bankins, Sarah
- ORCID
- Bankins, Sarah
- Venue
- Ethics and Information Technology
- Published
- 2021-11-25
- Volume
- 23
- Issue
- 4
- Pages
- 841-854
- ISSN
- 1388-1957 (ISSN-L)
- 1572-8439
- OpenAlex
- W3216241100
- Cited by
- 181
- References
- 63
- Citations by year
- 2026: 50 · 2025: 56 · 2024: 43 · 2023: 24 · 2022: 8
- FWCI
- 18.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ethics and Information Technology (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- artificial intelligence, human resource management, ethical AI, decision-making framework, task-technology fit, human-AI collaboration, recruitment and selection, staff allocation, career coaching
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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