MANAGEMENT ETHICS IN THE AI-ART ECOSYSTEM

Ragini Kunal Jadhav; Dr. Roopa Traisa; Yassir Farooqui; V. Sheela Mary; Simranjeet Nanda; Jagmeet Sohal

doi:10.29121/shodhkosh.v6.i1s.2025.6680

Authors

Dr. Ragini Kunal Jadhav Prin. L. N. Welingkar Institute of Management Development and Research, India
Dr. Roopa Traisa Associate Professor, Department of Management Studies, JAIN (Deemed-to-be University), Bengaluru, Karnataka, India
Dr. Yassir Farooqui Assistant Professor, Department of Computer science and Engineering, Faculty of Engineering and Technology, Parul institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India
Dr. V. Sheela Mary Professor, Department of Management, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (DU), Tamil Nadu, India
Simranjeet Nanda Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India
Jagmeet Sohal Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, Solan, 174103, India

DOI:

https://doi.org/10.29121/shodhkosh.v6.i1s.2025.6680

Keywords:

Artificial Intelligence, Management Ethics, Creative Responsibility, Intellectual Property, Algorithmic Bias, Ethical Governance

Abstract [English]

The creativity, ownership and ethics of the art ecosystem has been re-defined in a manner that has never before been witnessed due to the fast changing nature of the artificial intelligence (AI) inside the art ecosystem. The problem that the ethics of management in this new domain deals with is the balancing of innovation and moral responsibility, to achieve transparency, fairness, and respect of the human beings and creative integrity. Ethical management should encompass the issue of authorship, intellectual property and accountability in instances whereby the art pieces generated by the AI system are raising issues of originality. The AI application in art production or curation by organizations is met with the issues of algorithmic bias, cultural appropriation, and relegation of human artists. Effective management operations should be inclusiveness, approval and equitable allocation of credit to contributors of human and machine resources. Additionally, ethical leadership should be attentive to data integrity as well as not to reproduce copyrighted material without permission. Transparency in the use of AI tools and the creative process is the key to the assurance of trust and integrity of the people to the art. Making its way through the socio-economic consequences, including the labor migration, and the commercialization of AI art, the management also should. By establishing robust ethical norms and building accountability, managers would have an opportunity to develop a sustainable, human-based innovation that would appreciate technological growth and artistic heritage within the dynamic AI-art ecosystem.

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