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Artificial Intelligence, Electoral Processes, and Democratic Integrity: Comparing Regulatory Capacity and Political Vulnerability in the UK and Africa
Subject area: Arts, Social Sciences and Humanities · Area of research: Elections and Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I8-1714702
Abstract
The adoption of Artificial Intelligence (AI) in electoral systems has brought about both historic opportunities and governance challenges to democratic systems across the world. While AI technologies enhance political activities and administration of elections, they also create a set of threats such as misinformation, data abuse, algorithm bias, and political influence. The paper has explored the intersection of AI, elections, and democratic integrity through the prism of the United Kingdom and the African political environment. The paper questions the impacts of disparities in regulatory capacity and political vulnerability on the way AI is shaping electoral governance using a qualitative and policy-analytical methodology. The United Kingdom is a developed regulatory environment that has incorporated data protection regimes, institutional controls and accountability processes to the citizens. On the other hand, several African countries are subjected to fragmented governance systems with low enforcement, ineffective distribution system and heightened political instability. Findings showed that AI is not a neutral technological tool in the election process. Instead, its impacts depend on institutional and regulatory capacity. The risks of AI are also reduced, but not eliminated, in the environment where the developed control systems are identified. Conversely, AI intensifies the politically vulnerable environments with less regulatory safeguards, increases misinformation, reinforces inequalities, and compromises the feeling of integrity in the election outcomes. The paper concludes that, maintaining democratic integrity in the AI age goes beyond technology adaptation, it however also requires institutional resilience, customizing the regulatory framework to institutional context, and inclusive global norm-setting. The paper sheds light on the governance asymmetry between the advanced and emerging political systems and adds to the current discussions of how AI should be governed and policy-related valuable information on how electoral resilience can be improved in various democracies.
Keywords
Artificial Intelligence (AI), Electoral Processes & Democratic Integrity
References
[1] Adebayo, A. A. (2024). Campaigning in the Age of AI: Ethical Dilemmas and Practical Solutions for The UK and US. International Journal of Social Science and Human Research, 07(12). https://doi.org/10.47191/ijsshr/v7-i12-65
[2] Asiryan, S. R. (2023). Use of artificial intelligence during elections, practice, threats to the right to vote and ways to overcomethem. https://doi.org/10.24144/2307-3322.2023.77.2.2
[3] Göde, A., & Kalkan, A. (2023). What is Artificial Intelligence? Özgür Yayınları. https://doi.org/10.58830/ozgur.pub392.c1548
[4] James, T. S., & Garnett, H. A. (2025). Introduction. https://doi.org/10.1093/oxfordhb/9780197777497.013.0035
[5] Jayant, J. (2024). Misuse Of Artificial Intelligence in Elections. Shodh Sari, 03(04), 222–241. https://doi.org/10.59231/sari7758
[6] Morandín-Ahuerma, F. (2022). What is artificial intelligence? International Journal of Research Publication and Reviews. https://doi.org/10.55248/gengpi.2022.31261
[7] Nagendraswamy, C., & Salis, A. (2021). A review article on artificial intelligence. Annals of Biomedical Science and Engineering.
[8] Narayana, S. (2024). Ai-powered political campaigns: ethical implications and regulatory challenges. ShodhKosh Journal of Visual and Performing Arts, 5(7). https://doi.org/10.29121/shodhkosh.v5.i7.2024.6508
[9] Njoroge, J. W. (2024). Comparative Analysis of Ai Governance in Africa Relative To Global Standards and Practices. IOSR Journal of Computer Engineering. https://doi.org/10.9790/0661-2605031925
[10] Onduko, J. O., Kalombo, M. A., Kuol, M. D., Makale, B. G., & Saleh, M. A. (2025). AI-Driven Governance: Transforming Public and Addressing Legacy Issues in Post-Colonial Africa. London Journal of Interdisciplinary Sciences., 3, 62–74. https://doi.org/10.31039/ljis.2024.3.291
[11] Osemuyi, O. C. (2023). Imperatives of ai to the conduct of a free, fair, and credible election in africa. 3(1), 16–30. https://doi.org/10.69778/2709-8338/3.1/a2
[12] Purnama, T. Y., Nugroho, S. S., & Sarbini, S. (2023). Elections Integrity: Realizing Ultimate Concern and Electoral Justice. Journal of Transcendental Law, 5(2), 107–122. https://doi.org/10.23917/jtl.v5i2.2386
[13] Yu, C. (2024). How Will AI Steal Our Elections? https://doi.org/10.31219/osf.io/un7ev
How to cite this paper
@article{1714702,
author = {Anya Adebayo, Anya, Akinwale Victor, Ishola, Kelechi Adura, Anya, Eke Kehinde Anya},
title = {Artificial Intelligence, Electoral Processes, and Democratic Integrity: Comparing Regulatory Capacity and Political Vulnerability in the UK and Africa},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {8},
pages = {2525-2531},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1714702.pdf},
abstract = {The adoption of Artificial Intelligence (AI) in electoral systems has brought about both historic opportunities and governance challenges to democratic systems across the world. While AI technologies enhance political activities and administration of elections, they also create a set of threats such as misinformation, data abuse, algorithm bias, and political influence. The paper has explored the intersection of AI, elections, and democratic integrity through the prism of the United Kingdom and the African political environment. The paper questions the impacts of disparities in regulatory capacity and political vulnerability on the way AI is shaping electoral governance using a qualitative and policy-analytical methodology. The United Kingdom is a developed regulatory environment that has incorporated data protection regimes, institutional controls and accountability processes to the citizens. On the other hand, several African countries are subjected to fragmented governance systems with low enforcement, ineffective distribution system and heightened political instability. Findings showed that AI is not a neutral technological tool in the election process. Instead, its impacts depend on institutional and regulatory capacity. The risks of AI are also reduced, but not eliminated, in the environment where the developed control systems are identified. Conversely, AI intensifies the politically vulnerable environments with less regulatory safeguards, increases misinformation, reinforces inequalities, and compromises the feeling of integrity in the election outcomes. The paper concludes that, maintaining democratic integrity in the AI age goes beyond technology adaptation, it however also requires institutional resilience, customizing the regulatory framework to institutional context, and inclusive global norm-setting. The paper sheds light on the governance asymmetry between the advanced and emerging political systems and adds to the current discussions of how AI should be governed and policy-related valuable information on how electoral resilience can be improved in various democracies.},
keywords = {Artificial Intelligence (AI), Electoral Processes & Democratic Integrity},
month = {February},
doi = {https://doi.org/10.64388/IREV9I8-1714702}
}