The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Understanding the Ethical Implications of Generative AI: A Multi-Disciplinary Perspective
Abstract
The capacity of generative Artificial Intelligence (AI) to develop material such as writing, graphics, and music is one of its defining characteristics. Generative AI has applications in a broad variety of fields, including but not limited to the following: art, literature, software development, education, product design, healthcare, finance, gaming, entertainment, and many more. From the viewpoint of many disciplines, this research study presents the implications of generative AI, considering the technical, educational, legal, and social aspects of the area. By combining concepts from various domains, this article aims to present a comprehensive understanding of the ethical concerns posed by generative AI. Additionally, the research will provide viable frameworks for resolving these issues.
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“These concerns may influence designers’ willingness to adopt such technologies and shape how AI is positioned within creative workflows (Panchanadikar and Freeman 2024; Singh et al. 2024).”
From Generative AI in Game Design: Enhancing Creativity or Constraining Innovation? (2025) · cites this paper as Singh et al. 2024
In the citing paper
“Moreover, the ethical concerns raised by participants—including attribution, originality, and labor displacement—mirror broader debates in the literature on responsible AI integration in creative industries (Singh et al. 2024).”
From Generative AI in Game Design: Enhancing Creativity or Constraining Innovation? (2025) · cites this paper as Singh et al. 2024
In the citing paper
“While the tools are praised for their ability to automate repetitive tasks and enhance efficiency, there is a palpable concern about their impact on the integrity of human-authored content (Naik et al. 2024; Singh et al. 2024).”
From Generative AI in Game Design: Enhancing Creativity or Constraining Innovation? (2025) · cites this paper as Singh et al. 2024
In the citing paper
“Taken together, these findings suggest that ethical ambivalence toward generative AI is not rooted in technological conservatism, but in a desire to protect the visibility of human authorship, ensure equitable labor practices, and uphold the cultural and professional standards of game design (Boucher et al. 2024; Singh et al. 2024).”
From Generative AI in Game Design: Enhancing Creativity or Constraining Innovation? (2025) · cites this paper as Singh et al. 2024
Citations
Cites
Generative adversarial networks
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A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
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Google Scholar as a new source for citation analysis
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Generative AI in Education and Research: Opportunities, Concerns, and Solutions
Alasadi, E. A., & Baiz, C. R. (2023) · Journal of Chemical Education · doi:10.1021/acs.jchemed.3c00323 · Cited by 463
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Yu, N., Skripniuk, V., Abdelnabi, S., & Fritz, M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01418 · Cited by 195
Waqas, A., Bui, M. M., Glassy, E. F., Naqa, I. E., Borkowski, P., Borkowski, A., & Rasool, G. (2023) · Laboratory Investigation · doi:10.1016/j.labinv.2023.100255 · Cited by 158
The Social Impact of Generative AI: An Analysis on ChatGPT
Baldassarre, M. T., Caivano, D., Nieto, B. F., Gigante, D., & Ragone, A. (2023) · International Conference on Information Technology for Social Good (GoodIT) · doi:10.1145/3582515.3609555 · Cited by 151
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Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
McIntosh, T. R., Susnjak, T., Arachchilage, N., Liu, T., Xu, D., Watters, P., & Halgamuge, M. N. (2026) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2025.3569516 · Cited by 104
The Ethics of Artificial Intelligence in the Era of Generative AI
Kirova, V. D., Ku, C. S., Laracy, J. R., & Marlowe, T. J. (2023) · Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics · doi:10.54808/jsci.21.04.42 · Cited by 54
Performance evaluation of plant leaf disease detection using deep learning models
Singh, G., & Yogi, K. K. (2023) · Archives of Phytopathology and Plant Protection · doi:10.1080/03235408.2023.2183792 · Cited by 52
Self-citationComparison of RSNET model with existing models for potato leaf disease detection
Singh, G., & Yogi, K. K. (2023) · Biocatalysis and Agricultural Biotechnology · doi:10.1016/j.bcab.2023.102726 · Cited by 45
Self-citationSCARY DARK SIDE OF ARTIFICIAL INTELLIGENCE: A PERILOUS CONTRIVANCE TO MANKIND
Kumar, G., Singh, G., Bhatnagar, V., & Jyoti, K. (2019) · Humanities & Social Sciences Reviews · doi:10.18510/hssr.2019.75146 · Cited by 31
Self-citationInternet of Things-Based Devices/Robots in Agriculture 4.0
Singh, G., & Yogi, K. K. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-6605-6_6 · Cited by 27
Self-citationSingh, G., & Yogi, K. K. (2022) · IEEE Delhi Section Conference (DELCON) · doi:10.1109/delcon54057.2022.9753021 · Cited by 20
Self-citationPOLLUTION MANAGEMENT THROUGH INTERNET OF THINGS: A SUBSTANTIAL SOLUTION FOR SOCIETY
Singh, G., Kumar, G., Bhatnagar, V., Srivastava, A., & Jyoti, K. (2019) · Humanities & Social Sciences Reviews · doi:10.18510/hssr.2019.75162 · Cited by 19
Self-citationAbout Generative Aspects of Variational Autoencoders
Asperti, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-37599-7_7 · Cited by 8
Building Bridges: Generative Artworks to Explore AI EthicsPreprint
Srinivasan, R., & Parikh, D. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.13901 · Cited by 7
Solar Power Based IoT Agribot for Irrigation and Farm Monitoring
Singh, G., Bhatnagar, V., Kumar, S., & Srivastava, V. P. (2024) · International Conference on Device Intelligence, Computing and Communication Technologies (DICCT) · doi:10.1109/dicct61038.2024.10532899 · Cited by 4
Self-citationCORPORATE GOVERNANCE IN THE AGE OF GENERATIVE AI A LEGAL PERSPECTIVE
Naili, Y. T., & Purwono, P. (2024) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.21107/pamator.v17i1.25008 · Cited by 1
Research works printed but not linked: 1
- Jo, 2023, The promise and peril of generative AI, Nature, 614, 214
Cited by
Sorted by citations
Generative AI in Game Design: Enhancing Creativity or Constraining Innovation?
Alharthi, S. A. (2025) · Journal of Intelligence · doi:10.3390/jintelligence13060060 · Cited by 49
“More-over, the ethical concerns raised by participants—including attribution, originality, and labor displacement—mirror broader debates in the literature on responsible AI integration in creative industries (Singh et al. 2024).”
InfluentialGenerative AI as a More Knowledgeable Other: An Autoethnographic Study of Game Design Education
Alharthi, S. A. (2026) · Applied Sciences · doi:10.3390/app16115689 · Cited by 1
Hnatushenko, V., Khomenko, V., Пащенко, О., & Грищак, С. В. (2026) · doi:10.31474/ceur-ws.org/vol-4225/paper8
Metadata
- Authors
- Singh, G., Srivastava, V., Kumar, S., Bhatnagar, V., & Dhondiyal, S. A.
- Affiliations
- Graphic Era Hill University (IN)
- M.M.(Deemed to be University),MMICT&BM,Ambala,Haryana,India
- Maharishi Markandeshwar University, Mullana (IN)
- Graphic Era University (IN)
- Venue
- 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC)
- Publisher
- IEEE
- Published
- 2024-08-07
- Pages
- 1714-1719
- OpenAlex
- W4403060503
- Cited by
- 2
- References
- 21
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 0.91
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Electronics and Sustainable Communication Systems (ICESC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Law, AI, and Intellectual Property
- Keywords
- generative AI, AI ethics, ethical implications, legal aspects of AI, educational implications, societal impact of AI, interdisciplinary perspectives, ethical frameworks
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