JETI Admin2
Abstract
Artificial intelligence's (AI) influence on democracy is evident in its impacts on civic engagement, decision-making, and political processes. The majority of African countries are still acclimating to the integration of technology in electoral processes despite the discernible positive impact it is having on the electoral system. As policymakers and academics engage in deliberations regarding the implementation of AI in elections, there remains an uncertain correlation between technology and democracy that defies clarity. The effective implementation of AI in Africa elections could be facilitated through the establishment of a policy instrument that mirrors the approach taken in Europe, overseeing the development, structure, and deployment of AI systems, adhering to ethical AI principles that prioritise inclusivity, fairness, accountability, transparency, integrity, and engaging citizens, civil society organisations, and other relevant stakeholders in the decision-making and design phases. This article therefore examines the impacts of AI in the African electoral processes, discussing its potentials, challenges, and possible recommendations for its proper application. AI is regarded as having the potential to significantly aid in the advancement of democracy in Africa, notwithstanding the challenges it may present.
References
[1] Y. Xu, X. Liu, X. Cao, C. Huang, E. Liu, S. Qian, and J. Zhang, "Artificial intelligence: A powerful paradigm for scientific research," *The Innovation*, vol. 2, no. 4, 2021. [2] C. Muller, "The Impact of Artificial Intelligence on Human Rights, Democracy and the Rule of Law," 2020. [Online]. Available: https://allai.nl/wp-content/uploads/2020/06/The-Impact-of-AI-on-Human-Rights-Democracy-and-the-Rule-of-Law-draft.pdf [3] "Artificial Intelligence," *Builtin*. [Online]. Available: https://builtin.com/artificial-intelligence [4] M. I. Jordan and T. M. Mitchell, "Machine learning: Trends, perspectives, and prospects," *Science*, vol. 349, no. 6245, pp. 255-260, 2015. [5] S. Kreps and D. Kriner, "How AI Threatens Democracy," *Journal of Democracy*, vol. 34, no. 4, pp. 122-131, Oct. 2023. [6] M. I. Jordan and T. M. Mitchell, "Machine learning: Trends, perspectives, and prospects," *Science*, vol. 349, pp. 255-260, 2015. DOI: 10.1126/science.aaa8415. [7] N. Berente, B. Gu, J. Recker, and R. Santhanam, "Managing artificial intelligence," *MIS Quarterly*, vol. 45, no. 3, 2021. [8] L. Janah, "How East Africa Trains AI," *LinkedIn*, Dec. 05, 2018. [Online]. Available: https://www.linkedin.com/pulse/how-east-africa-trains-ai-leila-janah/ [9] A. O. Abiola, A. O. Adetunmbi, and A. Oguntimilehin, "A review of the various approaches for text to text machine translations," *International Journal of Computer Applications*, vol. 120, no. 18, pp. 7-12, Jun. 2015. DOI: 10.5120/21325-4278. [10] A. Oguntimilehin, A. O. Abiola, and K. A. Olatunji, "Computer aided diagnostic systems for managing typhoid fever: A review of diagnosis techniques," *International Journal of Computer Applications*, vol. 126, no. 6, pp. 24-29, Sep. 2015. DOI: 10.5120/ijca2015906071. [11] R. Kala, "Chapter 1 - An introduction to robotics," in *Emerging Methodologies and Applications in Modelling, Autonomous Mobile Robots*, Academic Press, 2024, pp. 1-48, ISBN 9780443189081. [Online]. Available: https://doi.org/10.1016/B978-0-443-18908-1.00010-8. [12] S. Xiao, J. Li, S. P. A. Bordas, and T.-Y. Kim, "Chapter One - Artificial neural networks and their applications in computational materials science: A review and a case study," in *Advances in Applied Mechanics*, vol. 57, Elsevier, 2023, pp. 1-33, ISBN 9780443137051. [Online]. Available: https://doi.org/10.1016/bs.aams.2023.09.001. [13] T. Zwingmann, "AI in a Nutshell: A Practical Guide to Key Terminology," 2023. [Online]. Available: https://blog.tobiaszwingmann.com/p/demystifying-ai-practical-guide-key-terminology?ref=gptechblog.com [14] M. Newhauser, "Five Diagrams to Understand AI," 2023. [Online]. Available: https://www.gptechblog.com/5-diagrams-to-help-you-understand-generative-ai/ [15] X. Xie and J. Yan, "How does artificial intelligence affect productivity and agglomeration? Evidence from China's listed enterprise data," *International Review of Economics & Finance*, vol. 94, pp. 103408, 2024. [Online]. Available: https://doi.org/10.1016/j.iref.2024.103408. [16] A. Jiao, J. Lu, H. Ren, and J. Wei, "The role of AI capabilities in environmental management: Evidence from USA firms," *Energy Economics*, vol. 134, 2024, Art. no. 107653. [Online]. Available: https://doi.org/10.1016/j.eneco.2024.107653. [17] M. H. Al-Rumaih, M. S. Al-Ahmari, and W. Kishta, "The role of artificial intelligence (AI) in paediatric orthopaedic surgery," *Journal of Orthopaedic Reports*, 2024, Art. no. 100416. [Online]. Available: https://doi.org/10.1016/j.jorep.2024.100416. [18] A. Stornaiuolo, J. Higgs, O. Jawale, and R. M. Martin, "Digital writing with AI platforms: The role of fun with/in generative AI," *English Teaching: Practice & Critique*, vol. 23, no. 1, pp. 83-103, 2024. [Online]. Available: https://doi.org/10.1108/ETPC-08-2023-0103. [19] Y. Xu, G. Zhou, R. Cai, and D. Gursoy, "When disclosing the artificial intelligence (AI) technology integration into service delivery backfires: Roles of fear of AI, identity threat and existential threat," *International Journal of Hospitality Management*, vol. 122, 2024, Art. no. 103829. [Online]. Available: https://doi.org/10.1016/j.ijhm.2024.103829. [20] A. Agrawal, J. S. Gans, and A. Goldfarb, "Prediction machines, insurance, and protection: An alternative perspective on AI’s role in production," *Journal of the Japanese and International Economies*, vol. 72, 2024, Art. no. 101307. [Online]. Available: https://doi.org/10.1016/j.jjie.2024.101307. [21] P. Tamasiga, E. H. Ouassou, H. Onyeaka, M. Bakwena, A. Happonen, and M. Molala, "Forecasting disruptions in global food value chains to tackle food insecurity: The role of AI and big data analytics – A bibliometric and scientometric analysis," *Journal of Agriculture and Food Research*, vol. 14, 2023, Art. no. 100819. [Online]. Available: https://doi.org/10.1016/j.jafr.2023.100819. [22] C. Djeffal, "AI, Democracy and the Law," pp. 255-283. [Online]. Available: https://library.oapen.org/bitstream/handle/20.500.12657/43874/1/external_content.pdf#page=256 [23] A. Hagerty and I. Rubinov, "Global AI ethics: A review of the social impacts and ethical implications of artificial intelligence," Cornell University, 2019. [Online]. Available: https://arxiv.org/abs/1907.07892. [24] D. Amata, "Exploring the Opportunities and Risks of AI in African Democracy," 2024. [Online]. Available: https://www.dataphyte.com/latest-reports/exploring-the-opportunities-and-risks-of-ai-in-african-democracy/ [25] A. Gwagwa, E. Kraemer-Mbula, N. Rizk, I. Rutenberg, and J. de Beer, "Artificial Intelligence (AI) Deployments in Africa: Benefits, Challenges and Policy Dimensions," *The African Journal of Information and Communication*, vol. 26, pp. 1-28, 2020. [Online]. Available: https://dx.doi.org/10.23962/10539/30361. [26] J. Powles and H. Nissenbaum, "The seductive diversion of 'solving' bias in artificial intelligence," *Medium*, Dec. 7, 2018. [Online]. Available: https://onezero.medium.com/the-seductive-diversion-of-solving-bias-in-artificial-intelligence-890df5e5ef53. [27] A. Koene, C. Clifton, Y. Hatada, H. Webb, M. Patel, C. Machado, and D. Reisman, "A governance framework for algorithmic accountability and transparency," European Parliament, 2019. [Online]. Available: https://www.europarl.europa.eu/RegData/etudes/STUD/2019/624262/EPRS_STU(2019)624262_EN.pdf. [28] H. van Kolfschooten and C. Shachar, "The Council of Europe's AI Convention (2023–2024): Promises and pitfalls for health protection," *Health Policy*, vol. 138, 2023, Art. no. 104935. [Online]. Available: https://doi.org/10.1016/j.healthpol.2023.104935. [29] E. O. Arakpogun, Z. Elsahn, F. Olan, and F. Elsahn, "Artificial Intelligence in Africa: Challenges and Opportunities," in *The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success*, A. Hamdan, A. E. Hassanien, A. Razzaque, and B. Alareeni, Eds., vol. 935, Studies in Computational Intelligence, Springer, Cham, 2021, pp. 337-360. [Online]. Available: https://doi.org/10.1007/978-3-030-62796-6_22.