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Artificial intelligence for human flourishing – Beyond principles for machine learning

Author

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  • Stahl, B.C.
  • Andreou, A.
  • Brey, P.
  • Hatzakis, T.
  • Kirichenko, A.
  • Macnish, K.
  • Laulhé Shaelou, S.
  • Patel, A.
  • Ryan, M.
  • Wright, D.

Abstract

The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing.

Suggested Citation

  • Stahl, B.C. & Andreou, A. & Brey, P. & Hatzakis, T. & Kirichenko, A. & Macnish, K. & Laulhé Shaelou, S. & Patel, A. & Ryan, M. & Wright, D., 2021. "Artificial intelligence for human flourishing – Beyond principles for machine learning," Journal of Business Research, Elsevier, vol. 124(C), pages 374-388.
    • Handle: RePEc:eee:jbrese:v:124:y:2021:i:c:p:374-388
    DOI: 10.1016/j.jbusres.2020.11.030
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    1. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
    2. Haque, AKM Bahalul & Islam, A.K.M. Najmul & Mikalef, Patrick, 2023. "Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    3. Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P. & Kizgin, Hatice, 2022. "Cognitive computing based ethical principles for improving organisational reputation: A B2B digital marketing perspective," Journal of Business Research, Elsevier, vol. 141(C), pages 685-701.
    4. Sagarika Mishra & Michael T. Ewing & Holly B. Cooper, 2022. "Artificial intelligence focus and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1176-1197, November.

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