Algorithmization in Public Institutions: Balancing Efficiency and Ethics in the Age of Transparency


Authors : Usman Madugu; Umar Sa’ID Hassan

Volume/Issue : Volume 10 - 2025, Issue 12 - December


Google Scholar : https://tinyurl.com/ycx5df85

Scribd : https://tinyurl.com/yvhjk83j

DOI : https://doi.org/10.38124/ijisrt/25dec1022

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Algorithmization in public institutions entails a transformative approach to governance which promises greater efficiency in the delivery of public services. Against this background, this study was conducted to examine the deployment of algorithms in public institutions with the view to balancing efficiency and ethics in the age of transparency. The data for this paper were acquired through reviewing extant literature on algorithmization in governance; this is achieved via surfing search engines and databases such as Google Scholar, ERIC, EBSCO, and PROQUEST. This conceptual approach examines, aggregates, and synthesises insights from scientific literature to offer a comprehensive overview of algorithmization and associated challenges. Findings reveal, inter alia, that while algorithmization can improve operational efficiency; this should not eclipse the fundamental objective of delivering public values. The pressure to optimize performance metrics can lead to the prioritization of efficiency at the expense of equity and inclusion. The paper validates and suggests five administrative solutions/reforms necessary for ethical AI. It is also revealed that integration of algorithmic systems in public institutions presents several challenges that risk public values raising significant ethical concerns. Hence it is recommended, inter alia, that public institutions must adopt a balanced control approach that evaluates algorithms deployment not only in efficiency reasons but also on social impact, equity and quality of service (public values).

Keywords : Algorithmization, Public Institutions, Efficiency, Ethics, Trannsparency and Administrative Reforms.

References :

  1. Cellard, L. (2024). Theaters of algorithmic transparency and the politics of exemplarity. Science, Technology, & Human Values, 01622439241294008. https://journals.sagepub. com/ doi/abs/10.1177/01622439241294008.
  2. Cordella, A., & Gualdi, F. (2025). Algorithmic formalization: Impacts on administrative processes. Public Administration, 103(2), 441-466. https:// online library. wiley. Com /doi/abs/10 .1111/padm.13030.
  3. Dahler, H., & Nuotio, T. (2022). Ethical dilemmas in algorithmic decision-making: Navigating the black box. Expert Systems, 39(3), e13406. https://doi.org/10.1111/exsy.13406.
  4. David, M. E. G. (2023). Government by algorithms at the light of freedom of information regimes: a case-by-case approach on ADM systems within public education sector. Ind. J.
  5. Global Legal Stud., 30, 105. https://heinonline.org/hol-cgi-bin/ get_ pdf. cgi?  Handle =hein. journals/ijgls30§ion=12.
  6. Dencik, L., Hintz, A., Redden, J., & Warne, H. (2019). Data justice and the right to the city: Exploring the implications of data-driven urbanism. Big Data & Society, 6(1), 1–14. https://doi.org/10.1177/2053951718820949.
  7. Government of Canada. (2019). Directive on automated decision-making. Treasury Board of Canada Secretariat. https://www.canada.ca/en/government/system/digital.
  8. Gualdi, F., & Cordella, A. (2024). Artificial intelligence to support public sector decision-making: the emergence of entangled accountability. In Research Handbook on Artificial Intelligence and Decision Making in Organizations (pp. 266-281). Edward Elgar Publishing. https://www .elgaronline.com/edcollchap/book/9781803926216/book-part-9781803926216-24.xml.
  9. Haaren, T. M. R. (2025). Between promise and practice: A case study on the perceived transparency of the algorithm register (Master's thesis, University of Twente).
  10. Huyskes, D. (2025). Constructing automated societies. Socio-cultural determinants and impacts of automated decision-making in public services. https://tesi dottorato. Deposit olegale .it/handle/20.5 00.14242/209369.
  11. Kossow, N., Windwehr, S., & Jenkins, M. (2022). Algorithmic transparency and accountability.
  12. Transparency International. https://www. jstor.org/ stable /pdf/ resrep 30838. pdf? Refreqid=fastly- default% 3A293411f 4525078b13 89aed0f71064 f61& ab_segm ents=0%2 Fbasic_search_gsv2%2Fcontrol&initiator=&acceptTC=1.
  13. Koulu, R. (2021). Crafting digital transparency: Implementing legal values into algorithmic design. Critical Analysis L., 8, 81. https://heinonline.org/hol-cgi-bin/get _pdf.cgi?handle=hein.  journals/cclaysolw8§ion=8.
  14. Leeuw, F. L. (2025). The Algorithmization of Policy and Society. Artificial Intelligence and Evaluation, https://library. oapen. org/bitst ream/ handle/ 20.500. 12657/9 4001/978 1040128510.pdf?sequence=1#page=257.
  15. Meijer, A. J. & Grimmelikhuijsen, S. G. (2021). Responsible and accountable algorithmization. In The algorithmic society: Technology, power and knowledge (p. 53). Routledge. https:// research-portal.uu.nl/files/93037339/10.4324_9780429261404_5_chapter.
  16. Meijer, A., Lorenz, L., & Wessels, M. (2021). Algorithmization of bureaucratic organizations: Using a practice lens to study how context shapes predictive policing systems. Public administration review, 81(5), 837-846. https:// online elibra ry.wil ey.com/doi/ abs/10.1111/ puar.13391.
  17. Mynenko, S. V., & Liulov, O. V. (2022). The impact of digitalization on the transparency of public authorities. https://essuir.sumdu.edu.ua/handle/123456789/88349.
  18. National Academy of Public Administration. (2021). Artificial intelligence and its impact on Public administration. https://napawash .org/uploads /Academy_ Studies /97817 33887106.pdf.
  19. Nieuwenhuizen, E. (2025). Trust and transparency in algorithmic governance: a multi-level framework. In Handbook on Trust in Public Governance (pp. 116-135). Edward Elgar Publishing. https://www.elgaronline.com/abstract/book/9781802201406/chapter8.xml.
  20. Organisation for Economic Co-operation and Development (OECD). (2019). OECD principles on artificial intelligence. https://www.oecd.org/going-digital/ai/principles/.
  21. Parviainen, J., Koski, A., Eilola, L., Palukka, H., Alanen, P., & Lindholm, C. (2025). Building and eroding the citizen–state relationship in the era of algorithmic decision-making: Towards a new conceptual model of institutional trust. Social Sciences, 14(3), 178. https: //www.mdpi.com/2076-0760/14/3/178.
  22. Ponti, B., Cerrillo-i-Martínez, A. & Di Mascio, F. (2022). Transparency, digitalization and corruption. In Understanding and fighting corruption in Europe: From repression to prevention (pp. 97-126). Cham: Springer International Publishing. https://link. springer. com/chapter/10.1007/978-3-030-82495-2_6.
  23. Sharma, M. S. (2025). Governance in the Age of Algorithms: Ethical Dilemmas and Administrative Reforms. International Journal of English Literature and Social Sciences10(2), 611118.
  24. Stahl, B. C., & Wright, D. (2018). Ethics and privacy in AI: Challenges and opportunities. AI & Society, 33(4), 499–511. https://doi.org/10.1007/s00146-017-0770-5.
  25. Valle-Cruz, D., Garcia-Contreras, R., & Gil-Garcia, J. R. (2024). Exploring the negative impacts of artificial intelligence in government: the dark side of intelligent algorithms and cognitive machines. International Review of Administrative Sciences, 90(2), 353-368. https://jou rnals.sagepub.com/doi/abs/10.1177/00208523231187051.
  26. Van Kimpren, F., de Bruijn, H., & Arnaboldi, M. (2023). Machine learning algorithms and public decision-making: A conceptual overview. The Routledge Handbook of Public Sector Accounting, 124-138. https://www.taylorfrancis.com/chapters/edit/10.4324/9781003295945-12/machine-learning-algorithms-public-decision-making-floris-van-kimpren-hans-de-bruijn-michela-arnaboldi.
  27. Vladimir, N. (2025). The artificial intelligence influence on structure of power: Long-Term transformation. Legal Issues in the digital Age, (2), 183-212. https://cyberle ninka.ru/ article/n/the-artificial-intelligence-influence-on-structure-of-power-long-term-transformation.
  28. Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector—Applications and challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1498103.

Algorithmization in public institutions entails a transformative approach to governance which promises greater efficiency in the delivery of public services. Against this background, this study was conducted to examine the deployment of algorithms in public institutions with the view to balancing efficiency and ethics in the age of transparency. The data for this paper were acquired through reviewing extant literature on algorithmization in governance; this is achieved via surfing search engines and databases such as Google Scholar, ERIC, EBSCO, and PROQUEST. This conceptual approach examines, aggregates, and synthesises insights from scientific literature to offer a comprehensive overview of algorithmization and associated challenges. Findings reveal, inter alia, that while algorithmization can improve operational efficiency; this should not eclipse the fundamental objective of delivering public values. The pressure to optimize performance metrics can lead to the prioritization of efficiency at the expense of equity and inclusion. The paper validates and suggests five administrative solutions/reforms necessary for ethical AI. It is also revealed that integration of algorithmic systems in public institutions presents several challenges that risk public values raising significant ethical concerns. Hence it is recommended, inter alia, that public institutions must adopt a balanced control approach that evaluates algorithms deployment not only in efficiency reasons but also on social impact, equity and quality of service (public values).

Keywords : Algorithmization, Public Institutions, Efficiency, Ethics, Trannsparency and Administrative Reforms.

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Paper Submission Last Date
31 - January - 2026

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