E-Government in Nigeria

Can Generative AI Serve as a Tool for Civic Engagement?

doi: 10.53116/pgaflr.7068

Abstract

This paper examines the potential for using generative artificial intelligence (AI) to boost civic participation in Nigeria’s developing e-government ecosystem. Emerging generative technologies like ChatGPT demonstrate intriguing capabilities to make governance more interactive and engaging through conversational interfaces. Thoughtfully implemented AI tools could increase access and understanding of e-government, particularly for underserved groups. However, risks around bias, privacy, security and capability limitations pose challenges for public sector applications. Additionally, Nigeria’s substantial digital divides and defective trust in government institutions hamper e-government participation currently. This paper analyses opportunities and limitations for applying generative AI to advance civic engagement given Nigeria’s unique socio-cultural context. Findings suggest that while AI holds promise, targeted strategies focused on inclusion, accessibility, education and institutional legitimacy building are critical to realise benefits. Cautious optimism, human-centric design and responsible governance frameworks are needed to employ generative systems successfully. If challenges are addressed, AI could open innovative possibilities for energising civic participation. But further research and controlled pilot applications are required to determine optimal implementation.

Keywords:

Generative AI ChatGPT Civil Participation Digital Literacy E-government

How to Cite

Abdulkareem, A. K. . E-Government in Nigeria: Can Generative AI Serve as a Tool for Civic Engagement?. Public Governance, Administration and Finances Law Review, 9(1). https://doi.org/10.53116/pgaflr.7068

References

Abdulkareem, A. K. (2015). Challenges of E-Government Implementation in the Nigerian Public Service. Journal of Creative Writing, 1(4), 45–56.

Abdulkareem, A. K., Abdulkareem, Z. J., Ishola, A. A. & Akindele, I. T. (2022a). Does E-Government Impact E-Participation? The Influence of Trust in E-Government. International Review of Public Administration, 27(2), 91–110. Online: https://doi.org/10.1080/12294659.2022.2071540

Abdulkareem, A. K., Abdulkareem, Z. J., Ishola, A. A., Bello, M. L. & Oladimeji, K. A. (2022b). The Influence of Openness of Public Organizations and Social Media Use on E-Participation: The Mediating Effect of Trust in E-Government. International Review of Public Administration, 27(4), 281–296. Online: https://doi.org/10.1080/12294659.2022.2136054

Abdulkareem, A. K. & Ishola, A. A. (2016). E-government in Nigeria: Progress and Prospects. Ilorin Journal of Administration and Development, 2(1), 59–67.

Abdulkareem, A. K., Ishola, A. A. & Abdulkareem, Z. J. (2021). E-Government and Bureaucratic Corruption in Nigeria: Successes and Challenges. Jurnal Studi Pemerintahan, 12(1), 1–20. Online: https://doi.org/10.18196/jgp.121125

Abdulkareem, A. K. & Ramli, R. M. (2021). Does Digital Literacy Predict E-Government Performance an Extension of Delone and Mclean Information System Success Model. Electronic Government, an International Journal, 17(4), 466–493. Online: https://doi.org/10.1504/EG.2021.118103

Alexopoulos, C., Charalabidis, Y., Androutsopoulou, A., Loutsaris, M. A. & Lachana, Z. (2019, January 8–11). Benefits and Obstacles of Blockchain Applications in e-Government. Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS-52), Wailea, Hawaii, US.

Androutsopoulou, A., Karacapilidis, N., Loukis, E. & Charalabidis, Y. (2019). Transforming the Communication between Citizens and Government through AI-Guided Chatbots. Government Information Quarterly, 36(2), 358–367. Online: https://doi.org/10.1016/j.giq.2018.10.001

Androutsopoulou, A. S., Karacapilidis, N. I., Loukis, E. & Charalabidis, Y. K. (2021). Combining Technocrats’ Expertise with Public Opinion through an Innovative E-Participation Platform. LEEE Transactions on Emerging Topics in Computing, 9(1), 174–187. Online: https://doi.org/10.1109/TETC.2018.2824022

Balaji, M. & Yuvaraj, N. (2019). Intelligent Chatbot Model to Enhance the Emotion Detection in Social Media Using Bi-Directional Recurrent Neural Network. Journal of Physics: Conference Series, 1362. Online: https://doi.org/10.1088/1742-6596/1362/1/012039

Baldauf, M. & Zimmermann, H.-D. (2020, July 19–24). Towards Conversational E-Government: An Experts’ Perspective on Requirements and Opportunities of Voice-Based Citizen Services. HCI in Business, Government and Organizations: 7th International Conference, HCIBGO 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark.

Cantador, I., Viejo-Tardío, J., Cortés-Cediel, M. E. & Rodríguez Bolívar, M. P. (2021). A Chatbot for Searching and Exploring Open Data: Implementation and Evaluation in E-Government. DG. O2021: The 22nd Annual International Conference on Digital Government Research (pp. 168–179). Online: https://doi.org/10.1145/3463677.3463681

Chatterjee, S. (2020). AI Strategy of India: Policy Framework, Adoption Challenges and Actions for Government. Transforming Government: People, Process and Policy, 14(5), 757–775. Online: https://doi.org/10.1108/TG-05-2019-0031

Chohan, S. R. & Akhter, Z. H. (2021). Electronic Government Services Value Creation from Artificial Intelligence: AI-Based E-Government Services for Pakistan. Electronic Government, 17(3), 374–390. Online: https://doi.org/10.1504/EG.2021.116003

Chui, M., Hazan, E., Roberts, R., Singla, A. & Smaje, K. (2023, June 14). The Economic Potential of Generative AI. McKinsey Digital. Online: https://shorturl.at/lAIMT

De Bruijn, H., Warnier, M. & Janssen, M. (2022). The Perils and Pitfalls of Explainable AI: Strategies for Explaining Algorithmic Decision-Making. Government Information Quarterly, 39(2). Online: https://doi.org/10.1016/j.giq.2021.101666

Dev, S., Goyal, J., Tewari, D., Dave, S. & Prabhakaran, V. (2023). Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. Online: https://doi.org/10.48550/arXiv.2307.10514

Duberry, J. (2022). Artificial Intelligence and Democracy. Risks and Promises of AI-Mediated Citizen–Government Relations. Edward Elgar Publishing.

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., Carter, L. et al. (2023). Opinion Paper: “So What If ChatGPT Wrote It?” Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy. International Journal of Information Management, 71. Online: https://doi.org/10.1016/j.ijinfomgt.2023.102642

Guenduez, A. A. & Mettler, T. (2023). Strategically Constructed Narratives on Artificial Intelligence: What Stories Are Told in Governmental Artificial Intelligence Policies? Government Information Quarterly, 40(1). Online: https://doi.org/10.1016/j.giq.2022.101719

Guo, M., Zhang, X., Zhuang, Y., Chen, J., Wang, P. & Gao, Z. (2023). Exploring the Intersection of Complex Aesthetics and Generative AI for Promoting Cultural Creativity in Rural China after the Post-Pandemic Era. Online: https://doi.org/10.48550/arXiv.2309.02136

Joo, Y.-M. (2023). Developmentalist Smart Cities? The Cases of Singapore and Seoul. International Journal of Urban Sciences, 27(sup1), 164–182. Online: https://doi.org/10.1080/12265934.2021.1925143

Ju, J., Meng, Q., Sun, F., Liu, L. & Singh, S. (2023). Citizen Preferences and Government Chatbot Social Characteristics: Evidence from a Discrete Choice Experiment. Government Information Quarterly, 40(3). Online: https://doi.org/10.1016/j.giq.2022.101785

Leewis, S. & Smit, K. (2023, January 3–6). What Other Factors Might Impact Building Trust in Government Decisions Based on Decision Support Systems, Except for Transparency and Explainability? 56th Hawaii International Conference on System Sciences (HICSS-56 2023), Maui, Hawaii.

Loukis, E., Saxena, S., Rizun, N., Maratsi, M. I., Ali, M. & Alexopoulos, C. (2023). ChatGPT Application vis-a-vis Open Government Data (OGD): Capabilities, Public Values, Issues and a Research Agenda. In I. Lindgren et al. (Eds.), Electronic Government (pp. 95–110). Springer, Cham. Online: https://doi.org/10.1007/978-3-031-41138-0_7

Mahapatra, R., Sharma, N., Trivedi, A. & Aman, C. (2012). Adding Interactive Interface to E-Government Systems Using AIML Based Chatterbots. 2012 CSI Sixth International Conference on Software Engineering (CONSEG). Online: https://doi.org/10.1109/CONSEG.2012.6349510

National eGovernment Strategies (2019). National eGovernment Strategies. Online: https://shorturl.at/uxAMS

Ojeda, C. (2021). The Political Responses of Virtual Assistants. Social Science Computer Review, 39(5), 884–902. Online: https://doi.org/10.1177/0894439319886844

Omotoso, F. (2014). Public-service Ethics and Accountability for Effective Service Delivery in Nigeria. Africa Today, 60(3), 119–139. Online: https://doi.org/10.2979/africatoday.60.3.119

Oni, A. A. & Okunoye, A. O. (2019). Critical Success Factors in E-Democracy Implementation. In M. Khosrow-Pour (Ed.), Advanced Methodologies and Technologies in Government and Society (pp. 186–194). Information Science Reference. Online: https://doi.org/10.4018/978-1-5225-7661-7.ch016

Oyedele, S. O. (2015). The Nigerian Public Service and Service Delivery under Civil Rule. Journal of Public Administration, Finance and Law, 7, 33–43.

Seböck, W., Biron, B. & Lampoltshammer, T. J. (2023). Barriers to the Introduction of Artificial Intelligence to Support Communication Experts in Media and the Public Sector to Combat Fake News and Misinformation. In N. Edelmann, L. Danneels, A. S. Novak, P. Panagiotopoulos & I. Susha (Eds.), Electronic Participation (pp. 67–81). Springer. Online: https://doi.org/10.1007/978-3-031-41617-0_5

Shang, G., Low, S. P. & Lim, X. Y. V. (2023). Prospects, Drivers of and Barriers to Artificial Intelligence Adoption in Project Management. Built Environment Project and Asset Management, 13(5), 629–645. Online: http://dx.doi.org/10.1108/BEPAM-12-2022-0195

Smith, S. & Jamieson, R. (2006). Determining Key Factors in E-Government Information System Security. Information Systems Management, 23(2), 23–32. Online: http://dx.doi.org/10.1201/1078.10580530/45925.23.2.20060301/92671.4

Strauss, S. (2023). Some Emerging Hypotheses about Using Generative AI in Public Sector Operations. Online: https://dx.doi.org/10.2139/ssrn.4544943

Symeonidis, S., Samaras, S., Stentoumis, C., Plaum, A., Pacelli, M., Grivolla, J., Shekhawat, Y., Ferri, M., Diplaris, S. & Vrochidis, S. (2023). An Extended Reality System for Situation Awareness in Flood Management and Media Production Planning. Electronics, 12(12). Online: https://doi.org/10.3390/electronics12122569

Tisland, I., Sodefjed, M. L., Vassilakopoulou, P. & Pappas, I. O. (2022). The Role of Quality, Trust, and Empowerment in Explaining Satisfaction and Use of Chatbots in E-Government. In S. Papagiannidis, E. Alamanos, S. Gupta, Y. K. Dwivedi, M. Mäntymäki & I. O. Pappas (Eds.), The Role of Digital Technologies in Shaping the Post-Pandemic World (pp. 279–291). Springer. Online: https://doi.org/10.1007/978-3-031-15342-6_22

Ukiwo, U. (2006). Creation of Local Government Areas and Ethnic Conflicts in Nigeria. The Case of Warri, Delta State. Unpublished manuscript.

Valle-Cruz, D. & García-Contreras, R. (2023). Towards AI-driven Transformation and Smart Data Management: Emerging Technological Change in the Public Sector Value Chain. Public Policy and Administration. Online: https://doi.org/10.1177/09520767231188401

Vrabie, C. (2023). E-Government 3.0: An AI Model to Use for Enhanced Local Democracies. Sustainability, 15(12). Online: https://doi.org/10.3390/su15129572

Wirtz, B. W., Langer, P. F. & Fenner, C. (2021). Artificial Intelligence in the Public Sector – A Research Agenda. International Journal of Public Administration, 44(13), 1103–1128. Online: https://doi.org/10.1080/01900692.2021.1947319

Wirtz, B. W., Weyerer, J. C. & Kehl, I. (2022). Governance of Artificial Intelligence: A Risk and Guideline-based Integrative Framework. Government Information Quarterly, 39(4). Online: https://doi.org/10.1016/j.giq.2022.101685

Yang, L. & Wang, J. (2023). Factors Influencing Initial Public Acceptance of Integrating the ChatGPT-Type Model with Government Services. Kybernetes. Online: https://doi.org/10.1108/K-06-2023-1011

Yusuf, Y. A., Yusoff, K. Z. H. & Zengeni, K. T. (2018). The Implications of the Legislative Corrupt Practices on the Democratic Consolidation in the Nigeria’s Fourth Republic. Journal of Techno Social, 10(1), 15–22. Online: https://doi.org/10.30880/jts.2018.10.01.002

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