Identifying and Managing the Challenges of Generative Artificial Intelligence in Organizations with an Emphasis on Ethical and Sustainability Aspects

Author

Department of Information Technology Management, Payame Noor University, Tehran, Iran.

10.22081/jare.2025.72615.2076

Abstract

With the rapid growth of generative artificial intelligence (AI) technologies and their expanding applications in various domains, the need to examine the consequences and challenges of employing this technology has become increasingly evident. The aim of this study was to identify and analyze the challenges of implementing generative AI in organizations. This research employed a qualitative approach using thematic analysis, with data collected through semi-structured interviews with experts. The findings revealed that the identified challenges can be categorized into six main themes: transparency and accountability; legal, security, and governance issues; human and cultural aspects; content quality and credibility; and economic and operational considerations. These six areas encompass 24 sub-themes that address a wide range of technical, legal, organizational, and ethical issues. Further analysis showed that many of these challenges stem from the absence of clear and ethical governance frameworks, poor quality and lack of diversity in training data, ambiguity in model decision-making processes, and organizations’ unpreparedness in terms of culture and structure to adopt emerging technologies. These findings can serve as a practical guide for managers, policymakers, and developers in the responsible and sustainable adoption of generative AI.

Keywords

Main Subjects

References

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Quarterly Scientific Journal of Applied Ethics Studies
Volume 21, Issue 3 - Serial Number 81
December 2025
Pages 120-157

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History

  • Receive Date: 13 August 2025
  • Revise Date: 05 September 2025
  • Accept Date: 21 September 2025

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