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Professionalism in artificial intelligence: The link between technology and ethics

Author

Listed:
  • Anton Klarin
  • Hossein Ali Abadi
  • Rifat Sharmelly

Abstract

Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three‐step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework that offers professionalism as a solution in ensuring ethical AI. The framework stipulates fairness, nonmaleficence, responsibility, freedom, and trust as values necessary for developers and operators, as well as transparency, privacy, fairness, trust, solidarity, and sustainability as organizational values to ensure sustainability in ethical development and operation of AI.

Suggested Citation

  • Anton Klarin & Hossein Ali Abadi & Rifat Sharmelly, 2024. "Professionalism in artificial intelligence: The link between technology and ethics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 41(4), pages 557-580, July.
  • Handle: RePEc:bla:srbeha:v:41:y:2024:i:4:p:557-580
    DOI: 10.1002/sres.2994
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    References listed on IDEAS

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    1. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    2. Yang Lu, 2019. "Artificial intelligence: a survey on evolution, models, applications and future trends," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(1), pages 1-29, January.
    3. Elizabeth S. Vieira & José A. N. F. Gomes, 2009. "A comparison of Scopus and Web of Science for a typical university," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 587-600, November.
    4. Hong Tien Vu & Jeongsub Lim, 2022. "Effects of country and individual factors on public acceptance of artificial intelligence and robotics technologies: a multilevel SEM analysis of 28-country survey data," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(7), pages 1515-1528, May.
    5. Yochai Benkler, 2019. "Don’t let industry write the rules for AI," Nature, Nature, vol. 569(7755), pages 161-161, May.
    6. Anton Klarin & Rifat Sharmelly & Yuliani Suseno, 2021. "A Systems Perspective in Examining Industry Clusters: Case Studies of Clusters in Russia and India," JRFM, MDPI, vol. 14(8), pages 1-23, August.
    7. Kirsten Martin, 2019. "Ethical Implications and Accountability of Algorithms," Journal of Business Ethics, Springer, vol. 160(4), pages 835-850, December.
    8. Hengstler, Monika & Enkel, Ellen & Duelli, Selina, 2016. "Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 105-120.
    9. Dashi Nazarov & Anton Klarin, 2020. "Taxonomy of Industry 4.0 research: Mapping scholarship and industry insights," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 535-556, July.
    10. Eric Brown, 2013. "Vulnerability and the Basis of Business Ethics: From Fiduciary Duties to Professionalism," Journal of Business Ethics, Springer, vol. 113(3), pages 489-504, March.
    11. Jianjing Qu & Yanan Zhao & Yongping Xie, 2022. "Artificial intelligence leads the reform of education models," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 581-588, May.
    12. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    13. Donald E. Gibson, 2003. "Developing the Professional Self-Concept: Role Model Construals in Early, Middle, and Late Career Stages," Organization Science, INFORMS, vol. 14(5), pages 591-610, October.
    14. Mengfan Li & Yongping Xie & Yuge Gao & Yanan Zhao, 2022. "Organization virtualization driven by artificial intelligence," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 633-640, May.
    15. Zsófia Tóth & Robert Caruana & Thorsten Gruber & Claudia Loebbecke, 2022. "The Dawn of the AI Robots: Towards a New Framework of AI Robot Accountability," Journal of Business Ethics, Springer, vol. 178(4), pages 895-916, July.
    16. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
    17. Neubert, Mitchell J. & Montañez, George D., 2020. "Virtue as a framework for the design and use of artificial intelligence," Business Horizons, Elsevier, vol. 63(2), pages 195-204.
    18. Kirsten Martin & R. Freeman, 2004. "The Separation of Technology and Ethics in Business Ethics," Journal of Business Ethics, Springer, vol. 53(4), pages 353-364, September.
    19. Stefano Brusoni & Antonino Vaccaro, 2017. "Ethics, Technology and Organizational Innovation," Journal of Business Ethics, Springer, vol. 143(2), pages 223-226, June.
    20. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    21. Wiesenberg, M. & Tench, R., 2020. "Deep strategic mediatization: Organizational leaders’ knowledge and usage of social bots in an era of disinformation," International Journal of Information Management, Elsevier, vol. 51(C).
    22. Kirsten Martin & Katie Shilton & Jeffery Smith, 2019. "Business and the Ethical Implications of Technology: Introduction to the Symposium," Journal of Business Ethics, Springer, vol. 160(2), pages 307-317, December.
    23. Hong Jiang & Jinlong Gai & Shukuan Zhao & Peggy E. Chaudhry & Sohail S. Chaudhry, 2022. "Applications and development of artificial intelligence system from the perspective of system science: A bibliometric review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 361-378, May.
    24. Deborah Johnson, 2015. "Technology with No Human Responsibility?," Journal of Business Ethics, Springer, vol. 127(4), pages 707-715, April.
    25. Wright, Scott A. & Schultz, Ainslie E., 2018. "The rising tide of artificial intelligence and business automation: Developing an ethical framework," Business Horizons, Elsevier, vol. 61(6), pages 823-832.
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