Publishing Ethics and AI: Challenges and Opportunities for Algorithm-Generated Content
DOI:
https://doi.org/10.62486/latia2025378Keywords:
AI-Generated Content, Artificial Intelligence, Algorithmic Transparency, Intellectual Property, Bias Mitigation, Content CredibilityAbstract
Introduction: the adoption of artificial intelligence (AI) has changed the content production process, and the AI generated text, images, and other media have contributed to controversies regarding ethical and operational aspects that publishers, authors, and users still struggle to address.
Objective: the study under consideration examines both opportunities and challenges of publishing the work of AI-generated content, with a particular focus on its operational aspects, quality control, and other ethical considerations.
Method: a survey was carried out among 874 participants, such as content creators, editors, and most frequent readers, who are asked to provide their perceptions, trustworthiness, and engagement patterns in an algorithm-generated content. Convergent validity and internal consistency tests were taken to determine the validity and reliability of the constructs to ensure that there is accuracy in measurements and the model is resilient. Analytical procedures employed structural equation modeling (SEM) using SmartPLS, supplemented with regression and correlation analyses in IBM SPSS (Version 29.0), to examine relationships between AI utilization, ethical awareness, content quality, and reader trust.
Results: key challenges include AI bias, disinformation, and low accountability, while opportunities involve efficiency, scalability, and personalized experiences. The strongest correlation is between transparency and reader trust (r = 0,63). Regression shows Ethical Awareness as the top predictor (β = 0,49, p < 0,001), and SEM path analysis identifies Ethical Awareness Perceived Content Quality as the strongest path (β = 0,54, p < 0,001). Transparency increases trust (β = 0,42, p < 0,01), perceived bias reduces credibility (β = –0,36, p < 0,01), and ethical supervision (human-in-the-loop, audits) enhances engagement and reliability.
Conclusions: the results indicate that a set of ethical principles and adjusted governance frameworks are needed in publishing to make AI-generated content creative and ethically reasonable.
References
Liu, L. The applications and challenges of artificial intelligence in the publishing industry. Geographical Research Bulletin, 2023, 2, pp.124-127. https://doi.org/10.50908/grb.2.0_124
Trotta, A., Ziosi, M. and Lomonaco, V. The future of ethics in AI: challenges and opportunities. AI & SOCIETY, 2023, 38(2), pp.439-441.
Xu, W., Dainoff, M.J., Ge, L. and Gao, Z. Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI. International Journal of Human–Computer Interaction, 2023, 39(3), pp.494-518. https://doi.org/10.1080/10447318.2022.2041900
Sytnyk, O. AI Implementation in Publishing Processes: Analysis of Challenges and Benefits Based on Practical Cases of Publishing Houses. Scientific Notes of the Institute of Journalism Наукові записки Інституту журналістики, 2024, p.34. https://doi.org/10.17721/2522-1272.2024.85.3
Casal, J.E. and Kessler, M. Can linguists distinguish between ChatGPT/AI and human writing?: A study of research ethics and academic publishing. Research Methods in Applied Linguistics, 2023, 2(3), p.100068. https://doi.org/10.1016/j.rmal.2023.100068
Khalifa, M. and Albadawy, M. Using artificial intelligence in academic writing and research: An essential productivity tool. Computer Methods and Programs in Biomedicine Update,2024, 5, p.100145. https://doi.org/10.1016/j.cmpbup.2024.100145
Huang, C., Zhang, Z., Mao, B. and Yao, X. An overview of artificial intelligence ethics. IEEE Transactions on Artificial Intelligence,2022, 4(4), pp.799-819. https://doi.org/10.1109/TAI.2022.3194503
Hu Y, et al
https://doi.org/10.62486/latia2025378
ISSN: 3046-403X
https://doi.org/10.62486/latia2025378
Siau, K. and Wang, W. Artificial intelligence (AI) ethics: ethics of AI and ethical AI. Journal of Database Management (JDM), 2020,31(2), pp.74-87. https://doi.org/10.4018/JDM.2020040105
Jiang, L., Wu, Z., Xu, X., Zhan, Y., Jin, X., Wang, L. and Qiu, Y. Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies. Journal of International Medical Research, 2021,49(3), p.03000605211000157. https://doi.org/10.1177/03000605211000157
Roberts, H., Cowls, J., Morley, J., Taddeo, M., Wang, V. and Floridi, L. The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation. In Ethics, governance, and policies in artificial intelligence 2021, (pp. 47-79). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-81907-1_5
Shukla, A.K. The Emergence of AI in Publishing A Revolution with Ethical Questions. Available at SSRN 4877070,2023, 9 (6). https://doi.org/10.13140/RG.2.2.29072.21760
Ouchchy, L., Coin, A. and Dubljević, V. AI in the headlines: the portrayal of the ethical issues of artificial intelligence in the media. AI & society, 2020,35(4), pp.927-936. https://doi.org/10.1007/s00146-020-00965-5
Pagallo, U., Ciani Sciolla, J. and Durante, M. The environmental challenges of AI in EU law: lessons learned from the Artificial Intelligence Act (AIA) with its drawbacks. Transforming Government: People, Process and Policy, 2022,16(3), pp.359-376. https://doi.org/10.1108/TG-07-2021-0121
Chan, C.K.Y. and Hu, W. Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education,2023, 20(1), p.43. https://doi.org/10.1186/s41239-023-00411-8
Ore, O. and Sposato, M. Opportunities and risks of artificial intelligence in recruitment and selection. International Journal of Organizational Analysis, 2022,30(6), pp.1771-1782. http://dx.doi.org/10.1108/IJOA-07-2020-2291
Lund, B.D., Wang, T., Mannuru, N.R., Nie, B., Shimray, S. and Wang, Z. ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 2023,74(5), pp.570-581. https://doi.org/10.1002/asi.24750
Rosyida, H.F., Syafei, A. and Nuha, M.U. The Evolving Field of Graphic Design: Challenges and Opportunities in the Integration of Artificial Intelligence. International Journal of Graphic Design, 2025, 3(1), pp.19-38. https://doi.org/10.51903/ijgd.v3i1.2537
Zhang, X., Zhang, J. & Oubibi, M. Effects of Chinese College Students’ Academic Integrity Perceptions on the Intention To Disclose AI-Generated Outputs: A Moderated Mediation Model. J Acad Ethics, 2025,23, 1709–1728. https://doi.org/10.1007/s10805-025-09622-2
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Copyright (c) 2025 Zonghui Wu, Yongguo Hu, Li Dai, Wenjie Huang, Jie Liu, Yahui Li, Yongsong Yan (Author)
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