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The Use Of Artificial Intelligence In The Provision Of Public Services

Year 2024, , 171 - 186, 28.10.2024
https://doi.org/10.70101/ussmad.1520892

Abstract

Various fields actively monitor the progress of technological advancements worldwide. The use of artificial intelligence applications has led to a notable rise in the number of studies exploring the many applications and utilization methods of artificial intelligence. This study focused on analyzing the utilization of artificial intelligence in the provision of public services. The study investigated the utilization of artificial intelligence by the government in fulfilling its responsibilities, the specific areas where artificial intelligence is employed for maintenance, and the potential risks associated with artificial intelligence applications. Based on a thorough assessment of prior research, it has been determined that artificial intelligence applications offer enhanced efficiency in delivering public services. Furthermore, these services are maintained more quickly and at a reduced cost. However, it is worth noting that artificial intelligence has faced criticism for its lack of emphasis on ethical considerations and its tendency to provide tailored services, which might result in the inadvertent sharing of individuals' private information. The study employed the literature review methodology. The national and international literature has explored both the field of artificial intelligence and the application of artificial intelligence in public services. The objective of the study is to make a valuable contribution to existing literature by thoroughly analyzing the advantages and disadvantages of artificial intelligence. Additionally, the study aims to provide insightful recommendations to policy makers.

References

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Kamu Hizmetlerinin Sunumunda Yapay Zeka Kullanımı

Year 2024, , 171 - 186, 28.10.2024
https://doi.org/10.70101/ussmad.1520892

Abstract

Dünyada teknolojik ilerlemeler birçok disiplin tarafından yakın takip edilmektedir. Özellikle yapay zeka uygulamalarının yaygınlaşması ile yapay zekanın kullanım alanları ve nasıl kullanıldıkları konusunda yapılan çalışmaların sayısında kayda değer artış gözlemlenmiştir. Bu çalışmada kamu hizmetlerinin sunumunda yapay zeka uygulamaları konusu incelenmiştir. Devletin görevlerini sürdürürken yapay zekadan nasıl yararlandığı, hangi hizmetlerin sürdürülmesi amacıyla yapay zekanın kullanıldığı ve yapay zeka uygulamalarının taşımış olduğu risklerin neler olduğu incelenmiştir. Önceki çalışmalar ışığında yapılan kapsamlı değerlendirmede yapay zeka uygulamalarının kamusal hizmetlerin sunumunda etkinlik sağladığı, hizmetlerin daha hızlı ve daha az maliyetle sürdürüldüğü bulgusuna ulaşılmıştır. Ancak yapay zekanın etik kaygıları çok önemsememesi ve hizmetlerin kişiye özel sunumunun kişilerin mahrem bilgilerinin daha kolay paylaşılmasına yol açması nedeniyle eleştirildiği bir diğer bulgudur. Çalışmada literatür taraması yöntemi benimsenmiştir. Ulusal ve uluslararası literatürde hem yapay zeka çalışmaları hem de yapay zekanın kamu hizmetlerinde kullanımını ele alan çalışmalar incelenmiştir. Çalışma ile literatüre katkı sunulması ve yapay zekanın faydaları ve zararlarının incelenmesi ve politika yapıcılara yol gösterici öneriler sunulması hedeflenmektedir.

References

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  • Referans2 Abatal, A. ve Korchi, A. (2023). We are transforming healthcare systems with artificial intelligence: revolutionizing efficiency, quality, and patient care. Research Square.
  • Referans3 Alberti, I. (2019). The Double Side of Artificial Intelligence in the Public Sector, Acta Univ. Sapientiae, Legal Studies, 8(2), 151–165.
  • Referans4 Aldosari, S. A. (2020). The future of higher education in the light of artificial intelligence transformations. International Journal of Higher Education, 9(3), 145-151.
  • Referans5 Ashby, W.R., Shannon, C.E. ve McCarthy, J. (1956). Automata Studies, Princeton University Press.
  • Referans6 Baik, J., Nam, H., Yujin, I., Jang, J., ve Bae, E. (2020). A study on the social welfare application of the 4th industrial revolution: focus on social welfare major student—Asia-Pacific Journal of Convergent Research Interchange, 6(5).
  • Referans7 Bansak, K., Ferwerda, J. Hainmueller, J. Dillon, A. Hangartner, D. Lawrence, D. ve Weinstein J. (2018). We are improving refugee integration through data-driven algorithmic assignment, Science, 325–329.
  • Referans8 Bendell, R., Williams, J., Fiore, S. M., ve Jentsch, F. (2021). Supporting social interactions in human-ai teams: profiling human teammates from sparse data. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 65(1), 665-669.
  • Referans9 Bettemir, Ö. H. (2022). Solution of housing contractor profit maximization problem. Journal of Construction Engineering, Management &Amp; Innovation, 5(4), 253-268.
  • Referans10 Butterworth, M. (2018). The ICO and artificial intelligence: The role of fairness in the GDPR framework. Computer Law and Security Review, 34(2), 257–268.
  • Referans11 Capucha, L., Nunes, N., ve Calado, A. (2021). Artificial intelligence as a resilient tool for fighting inequalities in the COVID-19 crisis. European Journal of Engineering and Formal Sciences, 4(1).
  • Referans12 Castellon, P. ve Velazquez, J. (2011). Caracterización de contribuyentes que presentan facturas falsas al SII mediante técnicas de data mining, Revista de Ingeniería de Sistemas, XXV, 77-104.
  • Referans13 Chilunjika, A., Intauno, K., ve Chilunjika, S. R. (2022). Artificial intelligence and public sector human resource management in South Africa: opportunities, challenges and prospects. SA Journal of Human Resource Management, 20.
  • Referans14 Choi, W. (2020). A study on the intelligent disaster management system based on artificial intelligence. Journal of the Korean Society of Hazard Mitigation, 20(1), 127-140.
  • Referans15 Davies, P. H. J. (2012). Defense intelligence in the UK after the Mountbatten reforms: organizational and inter-organizational dilemmas of joint military intelligence. Public Policy and Administration, 28(2), 196-213.
  • Referans16 Deloitte. (2019). Artificial Intelligence– Entering the world of tax, Deloitte.
  • Referans17 Dogan, O. (2023). The importance of digitization in estimating housing fair value with the artificial neural networks method: the case of Yenimahalle/Ankara/Türkiye. Brilliant Engineering, 4(1), 1-10.
  • Referans18 Dwianika, A., Paramita Sofia, I., ve Retnaningtyas, I. (2023). Tax Compliance: Development of Artificial Intelligence on Tax Issues. KnE Social Sciences, 8(12), 728–733.
  • Referans19 Eggers, W., Schatsky, D., & Viechnicki, P. (2017). AI-Augmented Government: Using Cognitive Technologies to Redesign Public Sector Work. Deloitte Center for Government Insights, Deloitte University Press.
  • Referans20 Esmaeilzadeh, P. (2020). Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives. BMC Medical Informatics and Decision Making, 20(1).
  • Referans21 Evgeniou, T., Hardoon, D. R., ve Ovchinnikov, A. (2024). What Happens When AI is Used to Set Grades?
  • Referans22 Fazri, M. F., Kusuma, L. B., Rahmawan, R. B., Fauji, H. N. ve Camille, C. (2023). Implementing artificial intelligence to reduce marine ecosystem pollution. IAIC Transactions on Sustainable Digital Innovation (ITSDI), 4(2), 101-108.
  • Referans23 Fujii, H. ve Managi, S. (2018). Trends and priority shifts in artificial intelligence technology invention: a global patent analysis. Economic Analysis and Policy, 58, 60-69.
  • Referans24 Ganapathy, K. (2021). Artificial intelligence and healthcare regulatory and legal concerns. Telehealth and Medicine Today.
  • Referans25 Gil, J.M., Pichler, M., Lentini, G., Mazzeschi, V., Doukhan, G. ve Belet, C. (2022). A Digital Platform to Facilitate the Resilience of Rural Territories, Journal of Information & Knowledge Management (JIKM), 21(03), 1-19.
  • Referans26 Giray, F. ve Çimen, G. (2023). Maliye Biliminde Yapay Zeka ve Makine Öğrenimi, Onikilevha Yayıncılık.
  • Referans27 Goldsmith, S. ve Crawford, S. (2014). The responsive city: Engaging communities through data-smart governance. San Francisco, CA: John Wiley & Sons.
  • Referans28 Gutiérrez, J. D. (2020). Machine learning to forecast medical attentions of pneumonia cases in colombian cities: an implementation with air quality, meteorological and admission data. https://doi.org/10.21203/rs.3.rs-53367/v1
  • Referans29 Haenlein, M. ve Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence, California Management Review, 1-10.
  • Referans30 Han, J., Park, J., ve Lee, H. (2022). Analysis of the effect of an artificial intelligence chatbot educational program on non-face-to-face classes: a quasi-experimental study. BMC Medical Education, 22(1).
  • Referans31 Hu, L., Chen, Z., ve Zhao, C. (2021). Impact of artificial intelligence on economic development. Proceedings of Business and Economic Studies, 4(5), 71-77.
  • Referans32 Huang, W., Lin. ve Jing. Z. (2022). Artificial intelligence technology and tax risk management innovation, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022).
  • Referans33 Huang, X. (2018). Ensuring taxpayer rights in the era of automatic exchange of information: EU data protection rules and cases, Intertax, 46(3), 225-239.
  • Referans34 Khoruzhy, V. I., Semenova, G. N., Bogoviz, A. V., ve Krasilnikova, V. G. (2022). Environmental taxation: contribution to sustainable development and ai prospects. Frontiers in Environmental Science, 10.
  • Referans35 Kindylidi, I. ve Cabral, T. S. (2021). Sustainability of ai: the case of provision of information to consumers. Sustainability, 13(21).
  • Referans36 Kochanova, A. Hasnain, Z. ve Larson, B. (2017). Does eGovernment improve Government capacity? Evidence from tax compliance costs, tax revenue, and public procurement competitiveness, The World Bank Economic Review.
  • Referans37 Kumar, R., R. K. Malhotra, R. Singh, S. Kathuria, R. Balyan ve P. Pal (2023). "Artificial Intelligence Role in Electronic Invoice Under Goods and Services Tax," 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), Ghaziabad, India, 140-143,
  • Referans38 Kumar, R., Malhotra, R. K. ve Grover, C. N. (2023). Review on Artificial Intelligence Role in Implementation of Goods and Services Tax(GST) and Future Scope, 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, Hindistan, 348-351.
  • Referans39 Kwak, Y., Ahn, J., ve Seo, Y. H. (2022). Influence of ai ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions. BMC Nursing, 21(1).
  • Referans40 Liu, H., Tang, M., ve Chen, K. (2020). Public decision making. The 21st Annual International Conference on Digital Government Research.
  • Referans41 Liu, X. (2021). Intelligent integrated community model for ethnic minority areas using data analysis and machine learning. Mobile Information Systems, 1-8.
  • Referans42 Lorinc, J. (2022). Dream States: Smart Cities, Technology, and the Pursuit of Urban Utopias. Coach House Books.
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There are 82 citations in total.

Details

Primary Language Turkish
Subjects Public Finance
Journal Section Research Articles
Authors

Mehmet Sadık Aydın 0000-0001-7587-5109

Early Pub Date October 27, 2024
Publication Date October 28, 2024
Submission Date July 23, 2024
Acceptance Date September 24, 2024
Published in Issue Year 2024

Cite

APA Aydın, M. S. (2024). Kamu Hizmetlerinin Sunumunda Yapay Zeka Kullanımı. Uluslararası Sosyal Siyasal Ve Mali Araştırmalar Dergisi, 4(2), 171-186. https://doi.org/10.70101/ussmad.1520892