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Employee Perceptions of the Effective Adoption of AI Principles

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  • Stephanie Kelley

    (Queen’s University)

Abstract

This study examines employee perceptions on the effective adoption of artificial intelligence (AI) principles in their organizations. 49 interviews were conducted with employees of 24 organizations across 11 countries. Participants worked directly with AI across a range of positions, from junior data scientist to Chief Analytics Officer. The study found that there are eleven components that could impact the effective adoption of AI principles in organizations: communication, management support, training, an ethics office(r), a reporting mechanism, enforcement, measurement, accompanying technical processes, a sufficient technical infrastructure, organizational structure, and an interdisciplinary approach. The components are discussed in the context of business code adoption theory. The findings offer a first step in understanding potential methods for the effective adoption of AI principles in organizations.

Suggested Citation

  • Stephanie Kelley, 2022. "Employee Perceptions of the Effective Adoption of AI Principles," Journal of Business Ethics, Springer, vol. 178(4), pages 871-893, July.
    • Handle: RePEc:kap:jbuset:v:178:y:2022:i:4:d:10.1007_s10551-022-05051-y
    DOI: 10.1007/s10551-022-05051-y
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    References listed on IDEAS

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    Cited by:

    1. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
    2. Michael Haenlein & Ming-Hui Huang & Andreas Kaplan, 2022. "Guest Editorial: Business Ethics in the Era of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 867-869, July.
    3. Constanta-Nicoleta Bodea & Mario Paparic & Radu Ioan Mogos & Maria-Iuliana Dascalu, 2024. "Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 126-126, February.
    4. Serge P. da Motta Veiga & Maria Figueroa-Armijos & Brent B. Clark, 2023. "Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness," Journal of Business Ethics, Springer, vol. 186(1), pages 199-216, August.

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