ETHICAL MANAGEMENT OF AI-PRODUCED DIGITAL WORKS

Authors

  • Dr. Avinash Dhavan Asst. Prof., Bharati Vidyapeeth Institute of management studies and Research, Navi Mumbai
  • Yuvraj Parmar Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, Solan, 174103, India
  • Shikha Gupta Assistant Professor, School of Business Management, Noida international University 203201
  • Ashish Verma Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India
  • Dr. Varsha Agarwal Associate Professor, ISME - School of Management & Entrepreneurship, ATLAS SkillTech University, Mumbai, Maharashtra, India
  • Dr. Thangaraja T Assistant Professor Grade -II, Department of Management, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (DU), Tamilnadu, India

DOI:

https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6720

Keywords:

AI Ethics, Digital Creativity, Authorship and Ownership, Intellectual Property, Accountability, Policy Frameworks

Abstract [English]

he high rate of artificial intelligence (AI) innovation into the creative industries has transformed the creation of digital productions, upsetting the standard views of creativity, authorship, and ownership. The paper is an academic discussion on managing AI-generated digital literature on a multidisciplinary platform by looking at the convergence between technology, ethics, law, and society. It starts with its definition of AI-generated digital works and describes the existing technologies that allow machine-based artistic and intellectual works. Ethical issues that are core are examined, such as authorship, information privacy, disclosure, and responsibility. The paper also explores the legal loopholes in intellectual property rights, licensing, and regulatory differences in different countries, and suggests that there is an urgent necessity to harmonize the frameworks to apply the specifics of AI. Socioeconomic consequences are also evaluated, which includes the influence of AI on creative employment, the process of democratizing and monopolizing digital creativity, and the change in perception of authenticity and value in the population. In order to have ethical governance, the paper suggests elaborate frameworks that focus on ethical design, institutional responsibility and clear mechanisms of auditing. It proposes the implication of ethical factors in the lifecycle of AI developments, including data collection and implementation.

References

Acquaviva, V., Barnes, E. A., Gagne, D. J., McKinley, G. A., and Thais, S. (2024). Ethics in climate AI: From Theory to Practice. PLOS Climate, 3, e0000465. DOI: https://doi.org/10.1371/journal.pclm.0000465

Benanti, P. (2023). The Urgency of an Algorethics. Discover Artificial Intelligence, 3, 11. DOI: https://doi.org/10.1007/s44163-023-00056-6

Bartlett, R., Morse, A., Stanton, R., and Wallace, N. (2022). Consumer-lending Discrimination in the FinTech era. Journal of Financial Economics, 143, 30–56. DOI: https://doi.org/10.1016/j.jfineco.2021.05.047

Casalone, C. (2020). Una Ricerca Etica Condivisa Nell’era Digitale. La Civiltà Cattolica, 2, 30–43.

De Mauro, A., and Pacifico, M. (2024). Data-Driven Transformation: Maximise Business Value with Data Analytics (The FT Guide). FT Publishing.

Feuerriegel, S., Hartmann, J., Janiesch, C., and Zschech, P. (2024). Generative AI. Business and Information Systems Engineering, 66, 111–126. DOI: https://doi.org/10.1007/s12599-023-00834-7

Giudici, P., Centurelli, M., and Turchetta, S. (2024). Artificial Intelligence Risk Measurement. Expert Systems with Applications, 235, 121220. DOI: https://doi.org/10.1016/j.eswa.2023.121220

Hill, D., O’Connor, C. D., and Slane, A. (2022). Police Use of Facial Recognition Technology: The Potential for Engaging the Public Through Co-Constructed Policy-Making. International Journal of Police Science and Management, 24, 325–335. DOI: https://doi.org/10.1177/14613557221089558

Kshetri, N. (2024). Economics of Artificial Intelligence Governance. Computer, 57, 113–118. DOI: https://doi.org/10.1109/MC.2024.3357951

Krishnapriya, K. S., Vítor, A., Kushal, V., Michael, K., and Kevin, B. (2020). Issues Related to Face Recognition Accuracy Varying Based on Race and Skin Tone. IEEE Transactions on Technology and Society, 1, 8–20. DOI: https://doi.org/10.1109/TTS.2020.2974996

Li, F., Ruijs, N., and Lu, Y. (2023). Ethics and AI: A Systematic Review on Ethical Concerns and Related Strategies for Designing with AI in Healthcare. AI, 4, 28–53. https://doi.org/10.3390/ai4010003 DOI: https://doi.org/10.3390/ai4010003

Morley, J., Elhalal, A., Garcia, F., Kinsey, L., Mokander, J., and Floridi, L. (2021). Ethics as a Service: A Pragmatic Operationalisation of AI Ethics. Minds and Machines, 31, 239–256. https://doi.org/10.1007/s11023-020-09531-3 DOI: https://doi.org/10.1007/s11023-021-09563-w

Murphy, K., Di Ruggiero, E., Upshur, R., Willison, D. J., Malhotra, N., Cai, J. C., Lui, V., and Gibson, J. (2021). Artificial Intelligence for Good Health: A Scoping Review of the Ethics Literature. BMC Medical Ethics, 22, 14. https://doi.org/10.1186/s12910-021-00589-0 DOI: https://doi.org/10.1186/s12910-021-00577-8

Novelli, C., Casolari, F., Rotolo, A., Taddeo, M., and Floridi, L. (2024). Taking AI Risks Seriously: A New Assessment Model for the AI Act. AI and Society, 39, 2493–2497. https://doi.org/10.1007/s00146-023-01772-4 DOI: https://doi.org/10.1007/s00146-023-01723-z

Ricciardi Celsi, L. (2023). The Dilemma of Rapid AI Advancements: Striking a Balance between Innovation and Regulation by Pursuing Risk-Aware Value Creation. Information, 14, 645 DOI: https://doi.org/10.3390/info14120645

Rhim, J., Lee, J.-H., Chen, M., and Lim, A. (2021). A Deeper Look at Autonomous Vehicle Ethics: An Integrative Ethical Decision-Making Framework to Explain Moral Pluralism. Frontiers in Robotics and AI, 8, Article 2021. https://doi.org/10.3389/frobt.2021.702843 DOI: https://doi.org/10.3389/frobt.2021.632394

Tang, L., Li, J., and Fantus, S. (2023). Medical Artificial Intelligence Ethics: A Systematic Review of Empirical Studies. Digital Health, 9, 20552076231186064. https://doi.org/10.1177/20552076231186064 DOI: https://doi.org/10.1177/20552076231186064

Van Wynsberghe, A. (2021). Sustainable AI: AI for Sustainability and the Sustainability of AI. AI and Ethics, 1, 213–218. https://doi.org/10.1007/s43681-021-00024-1 DOI: https://doi.org/10.1007/s43681-021-00043-6

Algorithmic Aesthetics and Artificial Intelligence in Visual Arts, Cultural Education, and Creative Practice

Downloads

Published

2025-12-16

How to Cite

Dhavan, D. A., Parmar, Y., Gupta, S., Verma, A., Agarwal, V., & Thangaraja T. (2025). ETHICAL MANAGEMENT OF AI-PRODUCED DIGITAL WORKS. ShodhKosh: Journal of Visual and Performing Arts, 6(2s), 78–88. https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6720

Issue

Vol. 6 No. 2s (2025): SPECIAL ISSUE ON ALGORITHMIC AESTHETICS AND ARTIFICIAL INTELLIGENCE IN VISUAL ARTS, CULTURAL EDUCATION, AND CREATIVE PRACTICE

Section

Articles

License

Copyright (c) 2025 Dr. Avinash Dhavan, Yuvraj Parmar, Shikha Gupta, Ashish Verma, Dr. Varsha Agarwal, Dr. Thangaraja T

Creative Commons License

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

With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.

It is not necessary to ask for further permission from the author or journal board. 

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

Crossref
Scopus
Google Scholar
Europe PMC