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Ethical AI in Social Science Research: The Need for Responsible Design, Reporting, and Review for HRD and Beyond

Toby Egan et al.

Human Resource Development Quarterly2025https://doi.org/10.1002/hrdq.70003article
AJG 2ABDC A
Weight
0.37

Abstract

As part of our own exploration of the use of artificial intelligence (AI), we used ChatGPT in support of the development of this manuscript in three ways: (1) in the search for some references used and/or related digital object identifiers; (2) in the formatting of the reference page; and (3) in copyediting/reducing two manuscript sections of text. No AI systems were used for data analysis, conceptual development, or the generation of original content. The authors reviewed and verified all text and take full responsibility for the integrity, accuracy, and originality of the work. Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

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https://doi.org/https://doi.org/10.1002/hrdq.70003

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@article{toby2025,
  title        = {{Ethical AI in Social Science Research: The Need for Responsible Design, Reporting, and Review for HRD and Beyond}},
  author       = {Toby Egan et al.},
  journal      = {Human Resource Development Quarterly},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1002/hrdq.70003},
}

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Ethical AI in Social Science Research: The Need for Responsible Design, Reporting, and Review for HRD and Beyond

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.