Ethical Use of Artificial Intelligence in Organizations

Author:

Uçkun Seher1,Uçkun Gazi1,Kilinç Sebahattin2,Yener Serdar3,Ceyhan Sinan3ORCID

Affiliation:

1. Kocaeli University, Turkey

2. National Defense University, Turkey

3. Sinop University, Turkey

Abstract

The expectation of high performance, efficiency and innovation brought by the desire for sustainable competition advantage fuels continuous change and development. However, technologies such as AI facilitate many functions of organizations. While AI technologies increase efficiency and innovation in organizational processes, they also generate some threats. With the use of AI, some factors that increase the anxiety of employees/customers come to the fore. With the widespread use of AI, consequences such as the fear of losing the job, privacy violations, and obtaining erroneous and ineffective information due to faulty algorithms may occur. However, the negative situations that may be encountered with the use of AI may differ. The fact that the use of AI is still very new increases the responsibilities of leaders in this regard. The situations that can be encountered with the use of AI may differ. In this respect, the leader's observations and research can enable them to develop proactive strategies. In this study, the discussion of strategies for the use of AI by leaders and the management of ethical responsibilities was made according to the literature review method. Scientific publications, articles, books, and reports obtained with the keywords determined in the research were systematically examined.

Publisher

IGI Global

Reference29 articles.

1. Maneuvering of Digital Transformation: Role of Artificial Intelligence in Empowering Leadership - An Empirical Overview

2. at Work: The Social for Artificial and Its Implications for the Workplace Psychological

3. Barocas, S., Hardt, M., & Narayanan, A. (2019). Fairness and machine learning. fairmlbook.org.

4. Brandon, R. (2018). Virtue Ethics, Deontology, and Consequentialism. Student Research Submissions. 292. https://scholar.umw.edu/student_research/292

5. BrynjolfssonE.McAfeeA. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.

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