Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-13T03:56:33.637Z Has data issue: false hasContentIssue false
  • English
  • Français

Considering artificial intelligence in hiring for cybervetting purposes

Published online by Cambridge University Press:  09 September 2022

Serge P. da Motta Veiga Open the ORCID record for Serge P. da Motta Veiga [Opens in a new window]  and
Maria Figueroa-Armijos
Serge P. da Motta Veiga*
Affiliation:
EDHEC Business School
Maria Figueroa-Armijos
Affiliation:
EDHEC Business School
*
*Corresponding author. Email: serge.damottaveiga@edhec.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 15 , Issue 3 , September 2022 , pp. 354 - 356
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.Google Scholar
CareerBuilder. (2017, May 18). More than half of HR managers say AI will become a regular part of HR in next 5 years. http://press.careerbuilder.com/2017-05-18-More-Than-Half-of-HR-Managers-Say-Artificial-Intelligence-Will-Become-a-Regular-Part-of-HR-in-Next-5-Years Google Scholar
Cha, S. E., Hewlin, P. F., Roberts, L. M., Buckman, B. R., Leroy, H., Steckler, E. L., Ostermeier, K., & Cooper, D. (2019). Being your true self at work: Integrating the fragmented research on authenticity in organizations. Academy of Management Annals, 13(2), 633–671.Google Scholar
da Motta Veiga, S. P., Clark, B., & Figueroa-Armijos, M. (2022, April 27–30). Ethical perceptions of AI in hiring and organizational trust [Poster presentation]. Annual Conference of the Society for Industrial and Organizational Psychology, Seattle, WA.Google Scholar
Du, S. (2022). Reimagining the future of technology: “The Social Dilemma” review. Journal of Business Ethics, 177(1), 213–215.Google Scholar
Figueroa-Armijos, M., Clark, B. B., & da Motta Veiga, S. P. (2022). Ethical perceptions of AI in hiring and organizational trust: The role of performance expectancy and social influence. Journal of Business Ethics. doi: 10.1007/s10551-022-05166-2.Google Scholar
Huet, N. (2022, March 8). Gender bias in recruitment: How AI hiring tools are hindering women’s careers. Euronews. https://www.euronews.com/next/2022/03/08/gender-bias-in-recruitment-how-ai-hiring-tools-are-hindering-women-s-careers Google Scholar
IBM. (2018, February 1). Bias in AI: How we build fair AI systems and less-biased humans. IBM. https://www.ibm.com/blogs/policy/bias-in-ai/ Google Scholar
Jasanoff, S. (2016). The ethics of invention: Technology and the human future. W. W. Norton & Company.Google Scholar
Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S., Wildhaber, I., & Kasper, G. (2019). The challenges of algorithm-based HR decision-making for personal integrity. Journal of Business Ethics, 160(2), 377–392.Google ScholarPubMed
Murphy, K. R., & Shiarella, A. H. (1997). Implications of the multidimensional nature of job performance for the validity of selection tests: Multivariate frameworks for studying test validity. Personnel Psychology, 50(4), 823–854.CrossRefGoogle Scholar
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.Google Scholar
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books.Google Scholar
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15–42.Google Scholar
Wilcox, A., Damarin, A. K., & McDonald, S. (2022). Is cybervetting valuable? Industrial and Organizational Psychology: Perspectives on Science and Practice, 15(3), 315–333.CrossRefGoogle Scholar