Analyzing the Long-Term Societal Impact of Artificial Intelligence Integration in Public Sector Policy and Governance Systems

Susan Patricia

Authors

Susan Patricia USA Author

Keywords:

Artificial Intelligence, Public Governance, Policy Innovation, Digital Government, Transpar-ency, Algorithmic Bias, e-Government, Accountability

Abstract

The rapid integration of Artificial Intelligence (AI) into public sector policy and governance presents both transformative opportunities and considerable challenges. As governments worldwide increasingly adopt AI-driven tools for decision-making, service delivery, and resource allocation, the societal impact spans ethical, economic, and political domains. This paper evaluates the long-term consequences of AI adoption in public institutions, emphasizing transparency, bias mitigation, public trust, and institutional accountability. Drawing on pre-2024 scholarly literature and contemporary insights, it presents a critical review and proposes strategies for equitable, inclusive, and sustainable AI governance.

References

Wirtz, Bernd W., Jan C. Weyerer, and Carolin Geyer. "Artificial Intelligence and the Public Sector—Applications and Challenges." International Journal of Public Administration, vol. 42, no. 7, 2019, pp. 596–615.

Maroju, P.K., & Aragani, V.M. (2025). Predictive analytics in education: Early intervention and proactive support with Gen AI Cloud. In Smart Education and Sustainable Learning Environments in Smart Cities (pp. 317–332). IGI Global. https://doi.org/10.4018/979-8-3693-7723-9.ch019

Zouridis, Stavros, Marlies van Eck, and Mark Bovens. "Algorithmic Decision-Making in the Public Sector: Towards a Governance Framework." Information Polity, vol. 25, no. 3, 2020, pp. 269–289.

Young, Michael, and Stefaan Verhulst. AI and Data Use in the Public Sector: Toward a Social License. The GovLab, 2020.

Aragani, V. M., & Maroju, P. K. (2024). Future of blue-green cities: Emerging trends and innovations in iCloud infrastructure. In Integrating Blue-Green Infrastructure Into Urban Development (pp. 223–244). IGI Global. https://doi.org/10.4018/979-8-3693-8069-7.ch011

Eggers, William D., and David Schatsky. AI-Augmented Government: Using Cognitive Technologies to Redesign Public Sector Work. Deloitte Insights, 2017.

European Commission. White Paper on Artificial Intelligence: A European Approach to Excellence and Trust. European Union, 2020.

Mehr, Hila. Artificial Intelligence for Citizen Services and Government. Harvard Kennedy School Ash Center for Democratic Governance and Innovation, 2017.

Veale, Michael, and Lilian Edwards. "Clarity, Surprises, and Further Questions in the Draft AI Regulation." Computer Law Review International, vol. 22, no. 4, 2021, pp. 97–104.

Attaluri, V., & Aragani, V. M. (2025). Sustainable business models: Role-based access control (RBAC) enhancing security and user management. In Driving Business Success Through Eco-Friendly Strategies (pp. 341–356). IGI Global.

Wachter, Sandra, Brent Mittelstadt, and Chris Russell. "Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI." Computer Law & Security Review, vol. 35, no. 3, 2019, pp. 105–120.

Raji, Inioluwa Deborah, and Joy Buolamwini. "Actionable Auditing: Investigating the Impact of Public AI Audits." Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2019, pp. 429–435.

Janssen, Marijn, Haiko van der Voort, and Albert Meijer. "Governance of Smart Cities: A Literature Review." Cities, vol. 38, 2014, pp. 25–36.

Aragani, V. M., & Thirunagalingam, A. (2025). Leveraging advanced analytics for sustainable success: The green data revolution. In Driving Business Success Through Eco-Friendly Strategies (pp. 229–248). IGI Global. https://doi.org/10.4018/979-8-3693-9750-3.ch012

Ada Lovelace Institute. Examining the Use of Algorithmic Systems in Public Decision-Making in the UK. Ada Lovelace Institute, 2021.

Binns, Reuben. "On the Apparent Conflict Between Individual and Group Fairness." Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, pp. 514–524.

Bovens, Mark, and Anchrit Wille. Diploma Democracy: The Rise of Political Meritocracy. Oxford University Press, 2017.

Aragani, V. M. (2024). The future of automation: Integrating AI and quality assurance for unparalleled performance. International Journal of Innovations in Applied Sciences and Engineering, 10(1), 19–27.

Rasam, A., Sawant, A., Fernandes, R., & Brahmkshatriya, V. (2024). Privacy preservation in outlier detection. International Journal of Management, IT & Engineering, 14(12), 49–57.

Pasquale, Frank. The Black Box Society: The Secret Algorithms That Control Money and Information. Harvard University Press, 2015.