Artificial Intelligence and Ethical Issues in Management: Seeking Balance

Authors

Maja Meško
University of Maribor, Faculty of Organizational Sciences
https://orcid.org/0000-0001-5615-9801
Mirjana Pejić Bach
University of Zagrebu, Faculty of Economics & Business
https://orcid.org/0000-0003-3899-6707
Tine Bertoncel
University of Primorska, Faculty of Management
https://orcid.org/0000-0003-1031-0611

Synopsis

The evolution brought on by artificial intelligence (AI) along with its applications generates increased opportunities to increase efficiency and also promote innovation in management alongside creating a plethora of ethical challenges to deal with. This paper examines how AI can present ethical issues for businesses and, at the same time, sheds light on how technology could be employed more ethically. From the literature and examples of best practices, we highlight issues regarding algorithmic injustice, the use of AI in decision-making without discrimination, and the influence of AI usage on the employees and the organization itself. According to the study results, even though artificial intelligence tools may be beneficial to an organization, managers, on the other hand, are faced with the dilemma of making sure that these tools are applied ethically. Understanding these important workers' rights issues and discrimination problems that may occur from overdependence on technology is essential. In this paper, we recommend setting proper ethical principles and policies regarding AI use in management and also recommend training management on such issues and the need to make ethical decisions.

Author Biographies

Maja Meško, University of Maribor, Faculty of Organizational Sciences

Maja Meško is a full professor at the Faculty of Organizational Sciences, University of Maribor. In addition to her habilitation in field management and human resources management, she also holds a habilitation as a full professor in kinesiology (science in sports) at the Faculty of Sports, University of Ljubljana. Her research interests include management, management psychology, workplace health and leadership. She has participated and continues to participate in various projects. She is the author and co-author of numerous scientific articles.

Kranj, Slovenia. E-mail: maja.mesko@um.si

Mirjana Pejić Bach, University of Zagrebu, Faculty of Economics & Business

Mirjana Pejić Bach is a full professor at the Department of Informatics at the Faculty of Economics, University of Zagreb. She received her PhD in System Dynamics Modeling from the Faculty of Economics, University of Zagreb. She was educated at the MIT Sloan School of Management in the field of system dynamics and at the OliviaGroup in the field of data mining. Her research areas include strategic use of information technology in business, data science, simulation modeling, research methodology, and qualitative and quantitative analysis, especially multivariate statistics and structural equation modeling. Pejić Bach is an editor of several scientific journals indexed in Scopus and WoS, and has organized several conferences.

Zagreb, Croatia. E-mail: mpejic@efzg.hr

Tine Bertoncel, University of Primorska, Faculty of Management

Koper, Slovenia. E-mail: tine.bertoncel@fm-kp.si

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Published

March 19, 2025

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

(Ed.). (2025). Artificial Intelligence and Ethical Issues in Management: Seeking Balance. In 44th International Conference on Organizational Science Development: Human Being, Artificial Intelligence and Organization, Conference Proceedings (Vols. 44, pp. 633-642). University of Maribor Press. https://press.um.si/index.php/ump/catalog/book/962/chapter/312