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An Ethical Overview Of Ai Business Practices

Author

Listed:
  • Radu USZKAI
  • Toni GIBEA
  • Mihail-Valentin CERNEA

Abstract

As the adoption of Artificial Intelligence (AI) tools in business goes hand in hand with technological progress, there are many key ethical issues that need to be addressed. The purpose of this article is to provide an overview of some of the most important moral implications of integrating AI systems in various business practices. The first part of our paper is dedicated to exploring the ethics of AI in the banking in financial sector. In it, we highlight some of the main difficulties faced by regulatory bodies in the sector for balancing the normative financial paradigm with a normative ethical paradigm for a responsible use of AI tools. Secondly, we focus on the ways in which Human Resource Management (HRM) has been impacted by AI, highlighting some of the main ethical issues at stake (technological unemployment, deskilling, algorithmic bias and moral responsibility). Last but not least, our paper ends with a discussion around the problems that arise the intersection of business and consumers.

Suggested Citation

  • Radu USZKAI & Toni GIBEA & Mihail-Valentin CERNEA, 2024. "An Ethical Overview Of Ai Business Practices," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 18(1), pages 601-610, November.
    • Handle: RePEc:rom:mancon:v:18:y:2024:i:1:p:601-610
    DOI: 10.24818/IMC/2024/05.11
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    References listed on IDEAS

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    1. Daron Acemoglu & Simon Johnson, 2024. "Learning from Ricardo and Thompson: Machinery and Labor in the Early Industrial Revolution, and in the Age of AI," NBER Working Papers 32416, National Bureau of Economic Research, Inc.
    2. Charles Hines & Jerry Kreuze & Sheldon Langsam, 2011. "An analysis of Lehman Brothers bankruptcy and Repo 105 transactions," American Journal of Business, Emerald Group Publishing Limited, vol. 26(1), pages 40-49, April.
    3. Daron Acemoglu & Simon Johnson, 2024. "Learning From Ricardo and Thompson: Machinery and Labor in the Early Industrial Revolution and in the Age of Artificial Intelligence," Annual Review of Economics, Annual Reviews, vol. 16(1), pages 597-621, August.
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