Artificial intelligence in public administration: opportunities, challenges, and ethical considerations

Ajree Ducol Malawani

Abstract


This study explores the integration of artificial intelligence (AI) into public administration, focusing on its potential to enhance governance, service delivery, and decision-making.  AI technologies such as machine learning, big data analytics, and natural language processing offer opportunities to improve efficiency and automate processes.  However, challenges such as algorithmic bias, data privacy risks, and bureaucratic resistance hinder implementation.  This paper reviews existing literature to identify key trends, challenges, and implications for policymakers.  Using a literature review, this study synthesises research from Scopus and ScienceDirect, prioritising studies from the past ten years.  A thematic analysis categorises findings into AI applications, social media, and big data in governance, as well as ethical concerns and adoption challenges.  The review highlights AI’s transformative potential while emphasising the need for strong regulatory frameworks, ethical guidelines, and capacity-building.  Consequently, social media possesses abundant information that can be leveraged in the development of artificial intelligence.  Hence, AI has the potential to modernise public administration, but its success depends on transparency, accountability, and inclusivity.

 


Keywords


artificial intelligence; social media; machine learning; big data; public administration

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Achterbergh, J., & Vriens, D. (2009). Organizations, Social System Conducting Experiments. Springer.

Adedokun, M. O., Adeyemo, C. W., & Olorunsola, E. O. (2010). The Impact of Communication on Community Development. Journal of Communication, 1(2), 101–105. https://doi.org/10.1080/0976691x.2010.11884775

Alexander, D. E. (2014). Social Media in Disaster Risk Reduction and Crisis Management. Science and Engineering Ethics, 20(3), 717–733. https://doi.org/10.1007/s11948-013-9502-z

Altuntas, S. (2017). A novel approach based on utility mining for store layout: A case study in a supermarket. Industrial Management and Data Systems, 117(2), 304–319. https://doi.org/10.1108/IMDS-01-2016-0040

Anikeeva, O., Steenkamp, M., & Arbon, P. (2015). The future of social media use during emergencies in Australia: Insights from the 2014 Australian and New Zealand Disaster and Emergency Management Conference social media workshop. Australian Journal of Emergency Management, 30(1), 22.

Aruma, E. O. (2018). Roles of Communication in Community Development. International Journal of Network and Communication Research, 5(1), 1–10.

Asongu, S. A., & Odhiambo, N. M. (2019). Governance and social media in African countries: An empirical investigation. Telecommunications Policy, 43(5), 411–425. https://doi.org/10.1016/j.telpol.2018.10.004

Barkham, R., Bokhari, S., & Saiz, A. (2018). Urban Big Data: City Management and Real Estate Markets. GovLab Digest.

Baruah, T. (2012). Effectiveness of social media as a tool of communication and its potential for technology enabled connections: A micro-level study. International Journal of Scientific and Research Publication, 2(5), 1–10. https://doi.org/ISSN 2250-3153

Bekkers, V., Edwards, A., & de Kool, D. (2013). Social media monitoring: Responsive governance in the shadow of surveillance? Government Information Quarterly, 30(4), 335–342. https://doi.org/10.1016/j.giq.2013.05.024

Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2012). Promoting transparency and accountability through ICTs, social media, and collaborative e-government. Transforming Government: People, Process and Policy, 6(1), 78–91. https://doi.org/10.1108/17506161211214831

Bostrom, N. (2006). How Long Before Superintelligence? International Journal of Futures Studies, 5(1997), 11–30.

Bott, M., Gigler, B.-S., & Young, G. (2014). The Role of Crowdsourcing for Better Governance in Fragile State Contexts. Closing the Feedback Loop: Can Technology Bridge the Accountability Gap?, 107–148. https://doi.org/10.1596/978-1-4648-0191-4_ch5

Brunetti, F., Matt, D. T., Bonfanti, A., De Longhi, A., Pedrini, G., & Orzes, G. (2020). Digital transformation challenges: strategies emerging from a multi-stakeholder approach. TQM Journal, 2020. https://doi.org/10.1108/TQM-12-2019-0309

Brynjolfsson, E., & Mcafee, A. (2017). The Business of Artificial Intelligence: what it can and cannot do for your organization. Harvard Business Review Digital Articles, 1–20.

Busch, P. A. (2025). The Artificial Bureaucrat: Artificial Intelligence in Street-Level Work. Digital Government: Research and Practice. https://doi.org/10.1145/3721138

Cano, J. E., Delgado, M., & Requena, I. (1991). Using artificial neural networks to aid decision making processes. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 540 LNCS, 461–468. https://doi.org/10.1007/BFb0035928

Chalmers, D. J., French, R. M., & Hofstadter, D. R. (1992). High-level perception, representation, and analogy: A critique of artificial intelligence methodology. Journal of Experimental and Theoretical Artificial Intelligence, 4(3), 185–211. https://doi.org/10.1080/09528139208953747

Chatfield, A. T., & Reddick, C. G. (2018). All hands on deck to tweet #sandy: Networked governance of citizen coproduction in turbulent times. Government Information Quarterly, 35(2), 259–272. https://doi.org/10.1016/j.giq.2017.09.004

Chatfield, A. T., Scholl, H. J. J., & Brajawidagda, U. (2013). Tsunami early warnings via Twitter in government: Net-savvy citizens’ co-production of time-critical public information services. Government Information Quarterly, 30(4), 377–386. https://doi.org/10.1016/j.giq.2013.05.021

Chen, T., Guo, W., Gao, X., & Liang, Z. (2021). AI-based self-service technology in public service delivery: User experience and influencing factors. Government Information Quarterly, 38(4), 101520. https://doi.org/10.1016/j.giq.2020.101520

Chiang, W. Y. (2018). Applying data mining for online CRM marketing strategy: An empirical case of coffee shop industry in Taiwan. British Food Journal, 120(3), 665–675. https://doi.org/10.1108/BFJ-02-2017-0075

Coleman, W. D. (2015). Policy Networks. International Encyclopedia of the Social & Behavioral Sciences: Second Edition, 314–319. https://doi.org/10.1016/B978-0-08-097086-8.75038-0

Cordella, A., & Paletti, A. (2017). Value Creation, ICT, and Co-production in Public Sector: Bureaucracy, Opensourcing and Crowdsourcing. 18th Annual International Conference on Digital Government Research (Dg.o 2017), 185–194. https://doi.org/10.1145/3085228.3085305

Criado, J. I., & Gil-Garcia, J. R. (2019). Creating public value through smart technologies and strategies: From digital services to artificial intelligence and beyond. International Journal of Public Sector Management, 32(5), 438–450. https://doi.org/10.1108/IJPSM-07-2019-0178

Dolan, R., Conduit, J., Fahy, J., & Goodman, S. (2017). Social media: communication strategies, engagement and future research directions. International Journal of Wine Business Research, 29(1), 2–19. https://doi.org/10.1108/IJWBR-04-2016-0013

Ehnis, C., & Bunker, D. (2012). Social media in disaster response: Queensland Police Service-public engagement during the 2011 floods. In ACIS 2012: Location, Location, Location: Proceedings of the 23rd Australasian Conference on Information Systems 2012, 1–10.

Eom, S. J., Hwang, H., & Kim, J. H. (2018). Can social media increase government responsiveness? A case study of Seoul, Korea. Government Information Quarterly, 35(1), 109–122. https://doi.org/10.1016/j.giq.2017.10.002

Flew, T., Bruns, A., Burgess, J., Crawford, K., & Shaw, F. (2013). Social Media and its impact on crisis communication: Case studies of Twitter use in emergency management in Australia and New Zealand. Communication and Social Transformation.

Freeman, M. (2011). Fire, wind and water: Social networks in natural disasters. Journal of Cases on Information Technology, 13(2), 69–79. https://doi.org/10.4018/JCIT.2011040105

Gesk, T. S., & Leyer, M. (2022). Artificial intelligence in public services: When and why citizens accept its usage. Government Information Quarterly, 39(3), 101704. https://doi.org/10.1016/j.giq.2022.101704

Ghasemaghaei, M., Eslami, S. P., Deal, K., & Hassanein, K. (2018). Reviews’ length and sentiment as correlates of online reviews’ ratings. Internet Research, 28(3), 544–563. https://doi.org/10.1108/IntR-12-2016-0394

Grier, D. A. (2015). Crowdsourcing For Dummies. In Statewide Agricultural Land Use Baseline 2015 (Vol. 1). https://doi.org/10.1017/CBO9781107415324.004

Gross, A. J., & Murthy, D. (2017). Social Media Processes in Disasters: Implications of Emergent Technology Use. Social Science Research, 63, 356–370. https://doi.org/10.1016/j.ssresearch.2016.09.015

Hashimoto, Y., & Ohama, A. (2014). The Role of Social Media in Emergency Response : The Case of the Great East Japan Earthquake *. 16(2), 99–126.

Hecht-Nielsen, R. (1992). Theory of the Backpropagation Neural Network**Based on “nonindent” by Robert Hecht-Nielsen, which appeared in Proceedings of the International Joint Conference on Neural Networks 1, 593–611, June 1989. © 1989 IEEE. Neural Networks for Perception, 65–93. https://doi.org/10.1016/b978-0-12-741252-8.50010-8

Housley, W., Procter, R., Edwards, A., Burnap, P., Williams, M., Sloan, L., Rana, O., Morgan, J., Voss, A., & Greenhill, A. (2014). Big and broad social data and the sociological imagination: A collaborative response. Big Data & Society, 1(2), 205395171454513. https://doi.org/10.1177/2053951714545135

Hussain, M., & Manhas, J. (2016). Artificial Intelligence for Big Data: Potential and Relevance. International Acadmey of Engineering and Medical Research, 1.

Jamali, M., Nejat, A., Ghosh, S., Jin, F., & Cao, G. (2019). Social media data and post-disaster recovery. International Journal of Information Management, 44, 25–37. https://doi.org/10.1016/j.ijinfomgt.2018.09.005

John Carlo Bertot, Paul T. Jaeger, & Justin M. Grimes. (2012). Promoting transparency and accountability through {ICTs}, social media, and collaborative e‐government. Transforming Government: People, Process and Policy, 6(1), 78–91. https://doi.org/10.1108/17506161211214831

Joseph, J. K., Dev, K. A., Pradeepkumar, A. P., & Mohan, M. (2018). Big data analytics and social media in disaster management. Integrating Disaster Science and Management: Global Case Studies in Mitigation and Recovery, 287–294. https://doi.org/10.1016/B978-0-12-812056-9.00016-6

Jung, K., & Park, H. W. (2016). Tracing interorganizational information networks during emergency response period: A webometric approach to the 2012 Gumi chemical spill in South Korea. Government Information Quarterly, 33(1), 133–141. https://doi.org/10.1016/j.giq.2015.09.010

Kaigo, M. (2012). Social media usage during disasters and social capital: Twitter and the Great East Japan Earthquake. Keio Communication Review No, 34, 19–35.

Kaminska, K., & Rutten, B. (2014). Social media in emergency management.

Kavanaugh, A. L., Fox, E. A., Sheetz, S. D., Yang, S., Li, L. T., Shoemaker, D. J., Natsev, A., & Xie, L. (2012). Social media use by government: From the routine to the critical. Government Information Quarterly, 29(4), 480–491. https://doi.org/10.1016/j.giq.2012.06.002

Khan, G. F., Yoon, H. Y., Kim, J., & Park, H. W. (2014). From e-government to social government: Twitter use by Korea’s central government. Online Information Review, 38(1), 95–113. https://doi.org/10.1108/OIR-09-2012-0162

Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241–251. https://doi.org/10.1016/j.bushor.2011.01.005

Kim, K., Jung, K., & Chilton, K. (2016). Strategies of social media use in disaster management: Lessons in resilience from Seoul, South Korea. International Journal of Emergency Services, 5(2), 110–125. https://doi.org/10.1108/IJES-02-2016-0005

Klievink, B., & Janssen, M. (2009). Realizing joined-up government - Dynamic capabilities and stage models for transformation. Government Information Quarterly, 26(2), 275–284. https://doi.org/10.1016/j.giq.2008.12.007

Korvenoja, T. (2015). Strategy Formation Studied from Internal and External Perspectives.

Kumar, D. (2024). Ai-Driven Automation in Administrative Processes: Enhancing Efficiency and Accuracy. International Journal of Engineering Science and Humanities, 14(Special Issue 1), 256–265. https://doi.org/10.62904/qg004437

Lappe, C. (2013). The role of organizational identity in growing professional service firms. August.

Lauterbach, A. (2019). Artificial intelligence and policy: quo vadis? Digital Policy, Regulation and Governance , 21(3), 238–263. https://doi.org/10.1108/DPRG-09-2018-0054

Leavey, J. (2013). Social media and public policy: what is the evidence? Alliance for Useful Evidence Report, September, 39. https://doi.org/10.1088/0004-637X/698/2/L116

Ma, E., Cheng, M., & Hsiao, A. (2018). Sentiment analysis – a review and agenda for future research in hospitality contexts. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/IJCHM-10-2017-0704

Maes, J., Parra, C., Mertens, K., Bwambale, B., Jacobs, L., Poesen, J., Dewitte, O., Vranken, L., de Hontheim, A., Kabaseke, C., & Kervyn, M. (2018). Questioning network governance for disaster risk management: Lessons learnt from landslide risk management in Uganda. Environmental Science and Policy, 85(August 2017), 163–171. https://doi.org/10.1016/j.envsci.2018.04.002

Malawani, A. D., & Almarez, D. N. (2018). Comparison of the Performance of Selected Tenured and Non-Tenured Faculty of MSU Campuses in Northern Mindanao. Journal of Asian Review of Public Affairs and Policy.

Malawani, A. D., Nurmandi, A., Purnomo, E. P., & Rahman, T. (2020). Social media in aid of post disaster management. Transforming Government: People, Process and PolicyPeople, Process and Policy, 14(1). https://doi.org/10.1108/TG-09-2019-0088

Martinho-Truswell, E. (2018). How AI Could Help the Public Sector.

Meijer, A. J., Curtin, D., & Hillebrandt, M. (2012). Open government: Connecting vision and voice. International Review of Administrative Sciences, 78(1), 10–29. https://doi.org/10.1177/0020852311429533

Mergel, I. (2010). Government 2.0 Revisited: Social Media Strategies in the Public Sector. Public Administration.

Michaelsen, B. M. (2011). New media vs. old politics : the internet, social media, and democratisation in Pakistan. Social Media in Travel, Tourism and Hospitality: Theory, Practice and Cases, 1965, 73–86.

Moon, M. J. (2017). Evolution of co-production in the information age: crowdsourcing as a model of web-based co-production in Korea. Policy and Society, 37(3), 294–309. https://doi.org/10.1080/14494035.2017.1376475

Narain, K., Swami, A., Srivastava, A., & Swami, S. (2019). Evolution and control of artificial superintelligence (ASI): a management perspective. Journal of Advances in Management Research, 16(5), 698–714. https://doi.org/10.1108/JAMR-01-2019-0006

Noorshella Binti Che, N., Abdullah Al, M., Noorul Azwin Binti Md, N., Noorlisa Maria bt, A. H. S., Nursalihah Binti Ahmad, R., & Syed Ali, F. (2017). Acceptance and usage of social media as a platform among student entrepreneurs. Journal of Small Business and Enterprise Development, 24(2), 375–393. https://doi.org/10.1108/JSBED-09-2016-0136

Nyong’o, P. A. (1998). Review and Critique of Current Development Strategies in Africa. In G. R. Murunga, D. Okello, & A. Sjögren (Eds.), Kenya: the struggle for a new constitutional order.

O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (1st ed.). Crown Publishing Group.

Oginni, S. O., & Moitui, J. N. (2015). Social Media and Public Policy Process in Africa Enhanced Policy Process in Digital Age Social Media and Public Policy Process in Africa: Enhanced Policy Process in Digital Age. Source: Consilience Consilience: The Journal of Sustainable Development, 14(2), 158–172.

Otara, A. (2012). Innovation: A Strategy for Survival of Educational Organizations. American International Journal of Contemporary Research, 2(9), 171–178.

Pathan, J. (2018). Big Data: A Big Impact on Efficiency? Watb Creative.

Patterson, J., & Gibson, A. (2008). Deep Learning A practitioner’s approach. In Clinical Cancer Research (Vol. 14, Issue 14, pp. 4667 LP – 4671). https://doi.org/10.1038/nature14539

Patton, R. (2007). Facebook and networked interactivity. December.

Peary, B. D., Shaw, R., & Takeuchi, Y. (2012). Utilization of Social Media in the East Japan Earthquake and Tsunami and its Effectiveness. Journal of Natural Disaster Science, 34(1), 3–18.

Pinzon, L. (2013). Beyond connectivity: The impacts of social media in urban development in Puerto Ayore, Ecuador. 34.

Qin, H., & Li, Z. (2024). A study on enhancing government efficiency and public trust: The transformative role of artificial intelligence and large language models. International Journal of Engineering and Management Research, 14(3), 57–61. https://doi.org/10.5281/zenodo.12619360

Ragini, J. R., Anand, P. M. R., & Bhaskar, V. (2018). Big data analytics for disaster response and recovery through sentiment analysis. International Journal of Information Management, 42, 13–24. https://doi.org/10.1016/j.ijinfomgt.2018.05.004

Ranjan, J., & Malik, K. (2007). Effective educational process: A data-mining approach. Vine, 37(4), 502–515. https://doi.org/10.1108/03055720710838551

Riikkinen, M., Saarijärvi, H., Sarlin, P., & Lähteenmäki, I. (2018). Using artificial intelligence to create value in insurance. International Journal of Bank Marketing, 36(6), 1145–1168. https://doi.org/10.1108/IJBM-01-2017-0015

Rob Kitchin. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, April–June 2014:, 1–12. https://doi.org/10.1177/2053951714528481

Roengtam, S. (2017). Social Media Use and Citizen Engagement in Local Government of Thailand. Management of Cities and Regions. https://doi.org/10.5772/intechopen.70982

Roengtam, S., Nurmandi, A., Almarez, D., & Kholid, A. (2017). Does social media transform city government? A case study of three ASEAN cities: Bandung, Indonesia, Iligan, Philippines and Pukhet, Thailand. Transforming Government: People, Process and Policy, 11(3), 343–376. https://doi.org/10.1108/TG-10-2016-0071 10.1108/TG-10-2016-0071

Sagun, A., Bouchlaghem, D., & Anumba, C. J. (2009). A scenario-based study on information flow and collaboration patterns in disaster management. Disasters, 33(2), 214–238. https://doi.org/10.1111/j.1467-7717.2008.01071.x

Scholl, H. J., Kubicek, H., Cimander, R., & Klischewski, R. (2012). Process integration, information sharing, and system interoperation in government: A comparative case analysis. Government Information Quarterly, 29(3), 313–323. https://doi.org/10.1016/j.giq.2012.02.009

Scholz, T. M. (2017). Big Data in Organizations and the Role of Human Resource Management. https://doi.org/10.3726/b10907

Simon, T., Goldberg, A., & Adini, B. (2015). Socializing in emergencies - A review of the use of social media in emergency situations. International Journal of Information Management, 35(5), 609–619. https://doi.org/10.1016/j.ijinfomgt.2015.07.001

Singh, S., & Yassine, A. (2018). Big data mining of energy time series for behavioral analytics and energy consumption forecasting. Energies, 11(2). https://doi.org/10.3390/en11020452

Takahashi, B., Tandoc Jr, E. C., & Carmichael, C. (2015). Communicating on {Twitter} during a disaster: {An} analysis of tweets during {Typhoon} {Haiyan} in the {Philippines}. Computers in Human Behavior, 50, 392–398. https://doi.org/https://doi.org/10.1016/j.chb.2015.04.020

Thatcher, M., & Braunstein, J. (2015). Issue Networks: Iron Triangles, Subgovernments, Policy Communities, Policy Networks. International Encyclopedia of the Social & Behavioral Sciences: Second Edition, 769–773. https://doi.org/10.1016/B978-0-08-097086-8.75025-2

Thompson, A.-J., Martin, A. J., Gee, S., & Geurin, A. N. (2018). Building brand and fan relationships through social media. Sport, Business and Management: An International Journal, 8(3), 235–256. https://doi.org/10.1108/SBM-04-2017-0024

Tinati, R., Madaan, A., & Hall, W. (2017). The Role of Crowdsourcing in the Emerging Internet-Of-Things. Proceedings of the 26th International Conference on World Wide Web Companion - WWW ’17 Companion, 1669–1672. https://doi.org/10.1145/3041021.3051693

Tuominen, T., & Hasu, M. (2020). Public servants coping with competing demands on their agency in client relationships. International Journal of Public Sector Management. https://doi.org/10.1108/IJPSM-05-2019-0120

Van Dijck, J., & Poell, T. (2015). Understanding Social Media Logic. Media and Communication, 1(1), 2. https://doi.org/10.17645/mac.v1i1.70

Zhang, L., Dong, W., & Mu, X. (2018). Analysing the features of negative sentiment tweets. The Electronic Library, EL-05-2017-0120. https://doi.org/10.1108/EL-05-2017-0120




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