The Double-Edged Sword: Government Officials' Perceptions of AI and its Impact on Efficiency, Accountability, and Transparency
Kata Kunci:
artificial intelligence, gevernence, public administration, accountability, transparencyAbstrak
Artificial Intelligence (AI) is increasingly transforming governance by enhancing efficiency, accountability, and transparency in public administration. This study explores MDAs employees' perceptions of AI's impact on efficiency, accountability, and transparency in public administration. The study adopted a survey research design. A sample of 300 government employees was surveyed, and the data were analyzed using Pearson correlation and simple linear regression. The results showed that AI significantly enhances government efficiency (r = .765, p < 0.05), accountability (r = .653, p < 0.05), and transparency (r = .776, p < 0.05). Despite these benefits, challenges such as algorithmic bias, regulatory gaps, and data privacy concerns persist. The employees also identified the need for regulatory frameworks, ethical governance, and periodic investment in training to ensure responsible AI use. However, strengthening institutional capacities and fostering public trust through transparency measures are critical for AI's effective implementation in governance. The study contributes to the ongoing discourse on AI’s role in governance and administration with empirical findings to inform policy development and governance reforms. Addressing identified barriers will be essential for maximizing AI’s potential while ensuring equitable and accountable governance practices.
Referensi
Adeyeye, B. G., & Otusanya, J. O. (2015). The impact of taxpayers' perception of government's accountability, transparency and reduction in fiscal corruption on voluntary tax compliance in Nigeria. International Journal of Economics and Accounting, 6(3), 276-299. https://doi.org/10.1504/IJEA.2015.071817
Al-Abdullatif, A. M. (2024). Modeling teachers’ acceptance of generative artificial intelligence use in higher education: The role of AI literacy, intelligent TPACK, and perceived trust. Education Sciences, 14(11), 1209. https://doi.org/10.3390/educsci14111209
Amankwah-Amoah, J., & Lu, Y. (2022). Harnessing AI for business development: a review of drivers and challenges in Africa. Production Planning & Control, 35(13), 1551-1560. https://doi.org/10.1080/09537287.2022.2069049
Azis, F., Annafiah, N., Fadhilatunisa, D., Mazidan, A. Y., & Junian, S. B. (2024). Merevolusi E-commerce dengan AI: Studi Penerimaan AI Ecommerce dengan TAM. Jurnal Pendidikan Terapan, 104-116. https://doi.org/10.61255/jupiter.v2i2.216
Bouderhem, R. (2024). Shaping the future of AI in healthcare through ethics and governance. Humanities and Social Sciences Communications, 11(1), 1-12. https://doi.org/10.1057/s41599-024-02894-w
Coelho, M. R., & Silva, M. R. (2024). Artificial intelligence as a tool for efficiency in public administration. Ciências Sociais Aplicadas, 29(140). https://doi.org/10.69849/revistaft/ch10202411122213
Damar, M., Özen, A., Çakmak, Ü. E., Özoğuz, E., & Erenay, F. S. (2024). Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration. Journal of AI, 8(1), 83-106. https://doi.org/10.61969/jai.1512906
Ejiogu, A., Ejiogu, C., & Ambituuni, A. (2019). The dark side of transparency: Does the Nigeria extractive industries transparency initiative help or hinder accountability and corruption control?. The British Accounting Review, 51(5), 100811. https://doi.org/10.1016/j.bar.2018.10.004
Eke, D. O., Wakunuma, K., & Akintoye, S. (2023). Responsible AI in Africa: challenges and opportunities. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-08215-3
Espina-Romero, L., Noroño Sánchez, J. G., Gutiérrez Hurtado, H., Dworaczek Conde, H., Solier Castro, Y., Cervera Cajo, L. E., & Rio Corredoira, J. (2023). Which industrial sectors are affected by artificial intelligence? A bibliometric analysis of trends and Perspectives. Sustainability, 15(16), 12176. https://doi.org/10.3390/su151612176
Gavurova, B., Jencova, S., Bacik, R., Miskufova, M., & Letkovsky, S. (2022). Artificial intelligence in predicting the bankruptcy of non-financial corporations. Oeconomia Copernicana, 13(4), 1215-1251.
Gwagwa, A., Kraemer-Mbula, E., Rizk, N., Rutenberg, I., & De Beer, J. (2020). Artificial Intelligence (AI) deployments in Africa: benefits, challenges and policy dimensions. The African Journal of Information and Communication, 26, 1-28. https://doi.org/10.23962/10539/30361
Hassan, S., Asad, S. M. N., Eslami, M., Mattei, N., Culotta, A., & Zimmerman, J. (2024, October). PACE: Participatory AI for Community Engagement. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (Vol. 12, pp. 151-154). https://doi.org/10.1609/hcomp.v12i1.31610
Hermosa, P. M., Jorge, S., Urquía-Grande, E., & del Campo, C. (2023). Transparency in South American Central Governments. In Global Encyclopedia of Public Administration, Public Policy, and Governance (pp. 12892-12907). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-66252-3_4130
Kim, D. E., Lee, H., Lee, S. K., & Eom, S. J. (2024, June). Conditions for AI systems adoption in public sector: From an accountability perspective. In Proceedings of the 25th Annual International Conference on Digital Government Research (pp. 42-51). https://doi.org/10.1145/3657054.3657060
Liu, Q. (2024). Research on the impact and improvement path of artificial intelligence on government regulation efficiency. Journal of Computer Technology and Electronic Research, 1(1). https://doi.org/10.70767/jcter.v1i1.58
Madupati, B. (2024). The Role of AI in the Public Sector: A Technical Perspective. Available at SSRN 5076600. http://dx.doi.org/10.2139/ssrn.5076600
Margetts, H. (2022). Rethinking AI for good governance. Daedalus, 151(2), 360-371. https://doi.org/10.1162/daed_a_01922
Moharrak, M., Nguyen, N. P., & Mogaji, E. (2024). Business environment and adoption of AI: Navigation for internationalization by new ventures in emerging markets. Thunderbird International Business Review, 66(4), 355-372. https://doi.org/10.1002/tie.22384
Ndaka, A., Lassou, P. J., Seny Kan, K. A., & Fosso-Wamba, S. (2024). Toward response-able AI: A decolonial perspective to AI-enabled accounting systems in Africa. Critical Perspectives on Accounting, 99, 102736. https://doi.org/10.1016/j.cpa.2024.102736
Ng, Y. L. (2024). A longitudinal model of continued acceptance of conversational artificial intelligence. Information Technology & People. https://doi.org/10.1108/ITP-06-2023-0577
Okpanum , I., & Omeihe , K. O. (2024). Artificial Intelligence in nigeria: How ready are we? Businessday NG. Available at: https://businessday.ng/opinion/article/artificial-intelligence-in-nigeria-how-ready-are-we/ (Accessed: 17 January 2025).
Pulijala, S. K. (2024). Artificial intelligence in governance: opportunities, challenges, and ethical implications for public administration. International Journal for Multidisciplinary Research, 6(6). https://doi.org/10.36948/ijfmr.2024.v06i06.29990
Renda, A. (2019). Artificial Intelligence. Ethics, governance and policy challenges. CEPS Centre for European Policy Studies.
Salam, R., Sinurat, M., Yasin, A., & Sacipto, R. (2023). Implementation of Artificial Intelligence in Governance: Potentials and Challenges. Influence: international journal of science review, 5(1), 243-255.
Sattlegger, A. (2024, August). Ethical Governance of Emerging Digital Technologies in the Public Sector: Insights from Dutch Digital Ethics Commissions. In International Conference on Electronic Participation (pp. 131-146). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70804-6_9
Shaikh, Z. H., Irfan, M., Nomran, N. M., & Ratnakaram, S. P. K. (2024). Unlocking the Potential of AI for Efficient Governance: Innovative Approaches of Bahrain. In AI-Driven Decentralized Finance and the Future of Finance (pp. 112-138). IGI Global. https://doi.org/10.4018/979-8-3693-6321-8.ch005
Statista (2024). Artificial Intelligence – Nigeria. Available [Online] at: https://www.statista.com/outlook/tmo/artificial-intelligence/nigeria
Vasconcelos, E. S., & dos Santos, F. A. (2024). Inteligência artificial na gestão pública brasileira: desafios e oportunidades para a eficiência governamental. OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA, 22(6), e5017-e5017. https://doi.org/10.55905/oelv22n6-020
Wang, Y. (2024). Algorithmic decisions in education governance: implications and challenges. Discover Education, 3(1), 229. https://doi.org/10.1007/s44217-024-00337-x
Zou, K. H., & Li, J. Z. (2022, October). Enhanced patient-centricity: how the biopharmaceutical industry is optimizing patient care through AI/ML/DL. In Healthcare (Vol. 10, No. 10, p. 1997). MDPI. https://doi.org/10.3390/healthcare10101997
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Hak Cipta (c) 2025 Kanayo Chike Nwosu, Chinedu Eke, Chinedu Francis Egbunike, Daniel Izuchukwu Chude , Nkiru Patricia Chude

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