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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)
Citations
Cites
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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).”
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“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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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.”
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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.”
BackgroundFairness and Abstraction in Sociotechnical Systems
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“…denial of human interaction can degrade individuals’ justice perceptions, or the perceived fairness of a decision, generating feelings of impersonal treatment, devaluation, and dehumanization (such as “being reduced to a percentage”) (Binns et al., 2018, p. 1; Lee et al., 2019, p. 16; Lee, 2018).”
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“Transfer context bias refers to an AI being designed for use in one context but then being deployed in a different one (Danks & London, 2017).”
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“…governing principles for AI development (Floridi et al., 2018), examining the legal and accountability implications of AI decision making (Doshi-Velez et al., 2017), the ethical implications of social robot use (Stahl & Coeckelbergh, 2016), and the efficacy of granting moral rights to AI…”
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“While many individual characteristics are relevant to understanding technology ‘utilization’, I focus here on two human biases that could particularly undermine the ethical use of AI: algorithm aversion and automation bias (Bahner et al., 2008; Prahl & Van Swol, 2017).”
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“As noted earlier, this may occur when the individual merits of a case must be assessed and human value judgments must be made that can’t easily be specified through AI modelling (see Binns, 2020; Colson, 2019).”
BackgroundA Scoping Review of the Application of the Task-Technology Fit Theory
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Self-citationREVIEWING THE ETHICAL IMPLICATIONS OF AI IN DECISION MAKING PROCESSES
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Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning
Guettala, M., Bourekkache, S., Kazar, O., & Harous, S. (2024) · Acta Informatica Pragensia · doi:10.18267/j.aip.235 · Cited by 218
Does AI Debias Recruitment? Race, Gender, and AI’s “Eradication of Difference”
Drage, E., & Mackereth, K. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00543-1 · Cited by 148
Bujold, A., Roberge‐Maltais, I., Parent‐Rocheleau, X., Boasen, J., Sénécal, S., & Léger, P. (2023) · AI and Ethics · doi:10.1007/s43681-023-00325-1 · Cited by 229
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
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