Generative AI Models: Ethical, Legal, and Societal Implications in the Digital Era
Keywords:
Generative AI, Ethics, AI Policy, Societal Impact, Legal Challenges, TransparencyAbstract
Generative Artificial Intelligence (AI) is fast expanding large language models and generative adversarial networks, which are becoming transformative in the digital realm of any industry. Such models are also being offered with ethical, legal and societal challenges even as radical possibilities are being made available with regards to innovation. The paper explores the consequences of generative AI during the digital age and concentrates on equity, transparency, responsibility, privacy, and legal obligation. Based on the current frameworks, such as AI ethics principles, OECD principles, and the EU AI Act, the paper discusses the ways of how organizations and policymakers can make sure that generative AI technologies are deployed responsibly. Results point out the necessity of multidisciplinary strategies, which would focus on the development of technologies and the welfare of society as well as the legislation.
References
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1–21.
Calo, R. (2017). Artificial intelligence policy: A primer and roadmap. University of Bologna Law Review, 2(1), 1–29.
Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Transparent, explainable, and accountable AI for robotics and autonomous systems. Science Robotics, 2(6), eaan6080.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., et al. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707.
Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the Conference on Fairness, Accountability, and Transparency, 149–159.
Whittaker, M., Crawford, K., Dobbe, R., Fried, G., Kaziunas, E., Mathur, V., et al. (2018). AI Now Report 2018. AI Now Institute.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
OECD. (2019). OECD principles on artificial intelligence. OECD Publishing.
Gunning, D., & Aha, D. (2019). DARPA’s explainable artificial intelligence (XAI) program. AI Magazine, 40(2), 44–58.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., et al. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.
European Commission. (2021). Proposal for a regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union.
Rajagopal, N. K., Qureshi, N. I., Durga, S., Ramirez Asis, E. H., Huerta Soto, R. M., Gupta, S. K., & Deepak, S. (2022). Future of business culture: An artificial intelligence-driven digital framework for organization decision-making process. Complexity, 2022(1), 7796507.
Volkmar, G., Fischer, P. M., & Reinecke, S. (2022). Artificial intelligence and machine learning: Exploring drivers, barriers, and future developments in marketing management. Journal of Business Research, 149, 599–614.
Sagar, S. (2025). Low-Resource Fine-Tuning of LLMs for Domain-Specific Tasks. Universal Research Reports.
Mishra, S., Sinha, D., Kumar, S., & Sonawane, A. (2025). Dharma-Driven Innovation: Integrating Bhagavad Gita Principles into the Super-Entrepreneurship Model. Shodh Sagar Journal of Language, Arts, Culture and Film, 2(4), 18-35.
Kouchaki, M., & Smith, I. H. (2025). Moral decision-making in organizations. Annual Review of Organizational Psychology and Organizational Behavior, 12, 45–72.
Rani, A., Kumar, S., Kumar, R., Shekhawat, S., Harit, P., & Dhanoa, M. K. (2025). Role of Digitalization and Automation in Promoting Growth of SSI In India. Journal of Advanced Management Studies, 2(4), 20-33.
Rani, D. A., Kumar, S., Kumar, R., Shekhawat, D. S., Harit, P., Dhanoa, D. M. K., & Suruchi. (2025). Role of Digitalization and Automation in Promoting Growth of SSI In India. Journal of Advanced Management Studies, 2(4), 20–33. https://doi.org/10.36676/jams.v2.i4.88
Artificial Intelligence Applications in Academic Libraries: Transforming Information Access and User Services. (2026). International Journal for Research Publication and Seminar, 17(1), 1-10. https://doi.org/10.36676/jrps.v17.i1.342
