AI Regulation and Its Social Impacts on Public Policy
DOI:
https://doi.org/10.55737/rl.v5i1.26181Keywords:
Artificial Intelligence, Public Policy, Regulation, Governance, Accountability, Social Impact, Ethics, Algorithmic Decision-Making, Democratic OversightAbstract
Artificial intelligence (AI) is not a marginalized technological means any more but the main force of decision-making in political arenas, economic restructuring, and social change. The necessity to establish routine regulation frameworks has become especially relevant, with governments introducing AI-based systems into various areas of state business such as welfare checks and predictive policing, health-care screening, and taxing. The effects of AI control on the policy outcomes of a population will be examined in terms of the social influence of algorithmic governance, the dispositional capacity of a state, institutional responsibility, and trust in citizens. The tension between innovation, rights protection and state power has been identified as a qualitative evaluation of the critiques in the presence of the good arguments and other accessible resources of law, scholarship and policy and practice in democratic and hybrid political regimes and developing political regimes. The results show that unless carefully monitored apply AI, it becomes the origin of institutional transparency, discrimination, and worse democratic participation, yet attentive regulation systems can reestablish order in the service provision practice, enhancing transparency profile and offering equitable governance. This paper conclusively gives the recommendations regarding the rights based regulatory frameworks, the stronger oversight organizations and participatory policymaking frameworks that would focus on the technology developments and the social welfare.
References
Al-Dulaimi, A. O. M., & Mohammed, M. A.-A. W. (2025). Legal responsibility for errors caused by artificial intelligence (AI) in the public sector. International Journal of Law and Management. https://www.emerald.com/insight/content/doi/10.1108/IJLMA-08-2024-0295/full/html
Arun, M., Barik, D., Chandran, S. S., Praveenkumar, S., & Tudu, K. (2025). Economic, policy, social, and regulatory aspects of AI-driven smart buildings. Journal of Building Engineering, 99, 111666. https://www.sciencedirect.com/science/article/pii/S2352710224032340
Criado, J. I., Sandoval-Almazán, R., & Gil-Garcia, J. R. (2025). Artificial intelligence and public administration: Understanding actors, governance, and policy from micro, meso, and macro perspectives. Public Policy and Administration, 40(2), 173–184. https://doi.org/10.1177/09520767241272921
Davtyan, T. (2025). The us approach to ai regulation: Federal laws, policies, and strategies explained. Journal of Law, Technology, & the Internet, 16(2), 223. https://scholarlycommons.law.case.edu/jolti/vol16/iss2/2/
Hermann, E., & Puntoni, S. (2025). Generative AI in Marketing and Principles for Ethical Design and Deployment. Journal of Public Policy & Marketing, 44(3), 332–349. https://doi.org/10.1177/07439156241309874
Iunes Monteiro, J. (2025). The need for responsible use of AI by public administration: Algorithmic Impact Assessments (AIAs) as instruments for accountability and social control. In Public Governance and Emerging Technologies: Values, Trust, and Regulatory Compliance (pp. 179–216). Springer Nature Switzerland Cham. https://library.oapen.org/bitstream/handle/20.500.12657/100827/1/9783031847486.pdf#page=177
Kumar, V., Kotler, P., Gupta, S., & Rajan, B. (2025). Generative AI in Marketing: Promises, Perils, and Public Policy Implications. Journal of Public Policy & Marketing, 44(3), 309–331. https://doi.org/10.1177/07439156241286499
Leeuw, F. L. (2025). The Algorithmization of Policy and Society. Artificial Intelligence and Evaluation, 242.
Methuku, V., & Myakala, P. K. (2025). Digital Doppelgangers: Ethical and Societal Implications of Pre-Mortem AI Clones (No. arXiv:2502.21248). arXiv. https://doi.org/10.48550/arXiv.2502.21248
Mueller, M. L. (2025). It’s just distributed computing: Rethinking AI governance. Telecommunications Policy, 49(3), 102917. https://www.sciencedirect.com/science/article/pii/S030859612500014X
Nadella, G. S., Meduri, S. S., Maturi, M. H., & Whig, P. (2025). Societal impact and governance: Shaping the future of AI ethics. In Ethical Dimensions of AI Development (pp. 261–282). IGI Global. https://www.igi-global.com/chapter/societal-impact-and-governance/359647
Panda, M., Hossain, M. M., Puri, R., & Ahmad, A. (2025). Artificial intelligence in action: Shaping the future of public sector. Digital Policy, Regulation and Governance. https://www.emerald.com/insight/content/doi/10.1108/dprg-10-2024-0272/full/html
Robles, P., & Mallinson, D. J. (2025). Artificial intelligence technology, public trust, and effective governance. Review of Policy Research, 42(1), 11–28. https://doi.org/10.1111/ropr.12555
Srđević, B. (2025). Evaluating the societal impact of AI: A comparative analysis of human and AI platforms using the analytic hierarchy process. AI, 6(4), 86. https://www.mdpi.com/2673-2688/6/4/86
Taeihagh, A. (2025). Governance of generative AI. In Policy and society (Vol. 44, Issue 1, pp. 1–22). Oxford University Press UK. https://academic.oup.com/policyandsociety/article-abstract/44/1/1/7997395
Wang, S., Zhang, Y., Xiao, Y., & Liang, Z. (2025). Artificial intelligence policy frameworks in China, the European Union and the United States: An analysis based on structure topic model. Technological Forecasting and Social Change, 212, 123971. https://www.sciencedirect.com/science/article/pii/S0040162525000022
Zhorzholiani, T. (2025). The Ethical and Societal Implications of AI in Economic Policy and Public Administration. In AI Use in Social Sciences (pp. 125–156). IGI Global Scientific Publishing. https://www.igi-global.com/chapter/the-ethical-and-societal-implications-of-ai-in-economic-policy-and-public-administration/383654
Downloads
Published
Issue
Section
License

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

