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This academic paper explores how artificial intelligence (AI) is reshaping e-governance, focusing on its potential benefits, challenges, and future directions. It begins with an introduction underscoring the necessity of AI in e-governance and proceeds to outline the AI technologies currently applied in this sector. The paper then examines the advantages AI brings to e-governance, such as improved service delivery and operational efficiency. However, it also addresses the obstacles encountered in adopting AI in e-governance, including legal, ethical, and societal concerns. Throughcase studies, the paper illustrates successful instances of AI integration in e-governance, demonstrating AI's ability to revolutionize service provision and citizen engagement

  • Read count 39
  • Date of publication 01-06-2024
  • Main LanguageIngliz
  • Pages346-351
English

This academic paper explores how artificial intelligence (AI) is reshaping e-governance, focusing on its potential benefits, challenges, and future directions. It begins with an introduction underscoring the necessity of AI in e-governance and proceeds to outline the AI technologies currently applied in this sector. The paper then examines the advantages AI brings to e-governance, such as improved service delivery and operational efficiency. However, it also addresses the obstacles encountered in adopting AI in e-governance, including legal, ethical, and societal concerns. Throughcase studies, the paper illustrates successful instances of AI integration in e-governance, demonstrating AI's ability to revolutionize service provision and citizen engagement

Author name position Name of organisation
1 Yuldasheva Y.X. student Tashkent State University of Law
Name of reference
1 1.Abdulaziz Al-Besher, KailashKumar, Use of artificial intelligence to enhance e-government services, Measurement: Sensors, Volume 24, 2022,100484, https://doi.org/10.1016/j.measen.2022.100484. 2.Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, Marimuthu Palaniswami, Internet of Things (IoT): A vision, architectural elements, and future directions, Future Generation Computer Systems, Volume 29, Issue 7,2013, Pages 1645-1660. https://doi.org/10.1016/j.future.2013.01.010. 3.3.J. Ramon Gil-Garcia, Jing Zhang, Gabriel Puron-Cid, Conceptualizing smartness in government: An integrative and multi-dimensional view, Government Information Quarterly, Vol. 33, Issue 3, 2016, Pages 524-534, https://doi.org/10.1016/j.giq.2016.03.002. 4.Alimul Haque, M., Haque, S., Rahman, M., Kumar, K., Zeba, S. (2022). Potential Applications of the Internet of Things in Sustainable Rural Development in India. In: Poonia, R.C., Singh, V., Singh Jat, D., Diván, M.J., Khan, M.S. (eds) Proceedings of Third International Conference on Sustainable Computing. Advances inIntelligent Systems and Computing, vol 1404. Springer, Singapore. https://doi.org/10.1007/978-981-16-4538-9_45 5.S. Shibu and A. Naik, "An approach to increase the awareness of e-governance initiatives based on cloud computing," 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC), Indore, India, 2017, pp. 1-4, doi: 10.1109/ICOMICON.2017.8279168. 6.Abhishek Roy & Sunil Karforma, A Study on Implementation of Security in E-Governance using Cryptography, International Journal of Advanced Research in Computer Science and Software Engineering, 4(4), 2014. 7.Atreyi Kankanhalli, Yannis Charalabidis, Sehl Mellouli, IoT and AI for Smart Government: A Research Agenda, Government Information Quarterly, Volume 36, Issue 2, 2019, Pages 304-309, https://doi.org/10.1016/j.giq.2019.02.003. 8.S. B. Vinay, Application of Artificial Intelligence (AI) In E-Publishing Industry in India, International Journal of Computer Engineering and Technology (IJCET) 14(1), 2023, pp. 7-12 doi: https://doi.org/10.17605/OSF.IO/4D5M79.S. B. Vinay, Application of Artificial Intelligence (AI) In School Teaching and Learning Process-Review and Analysis, International Journal of Information Technology and S. B. Vinay https://iaeme.com/Home/journal/IJARM 10 editor@iaeme.com Management Information Systems (IJITMIS), 14(1), 2023, pp. 1-5 doi: https://doi.org/10.17605/OSF.IO/AERNV 10.S. Balasubramanian, Facial Recognition Using Artificial Intelligence (AI)-Critical Analysis an Review, International Journal of Graphics and Multimedia (IJGM) 10(1), 2023, pp. 1-6 doi: https://doi.org/10.17605/OSF.IO/7MXU8 11.S. Balasubramanian, Literature Review on Developing Explainable AI for Trustworthy Decision-Making, International Journal of Design and Manufacturing Technology (IJDMT), 14(1), 2023, pp. 1-6. doi: https://doi.org/10.17605/OSF.IO/7PBY8 12.S. B. Vinay, A Study on Application of Artificial Intelligence in E-Recruitment in IT Sector, Chennai, International Journal of Marketing and Human Resource Management (IJMHRM), 14(1), 2023, pp. 1-14. doi: https://doi.org/10.17605/OSF.IO/H8D3P 13.https://events.unesco.org/event?id=1318048265&lang=1033 14.Kaur, A., Mittal, N.,& Khosla, P. K. (2021). Data Science and AI for E-Governance: A Step towards Society 5.0. CRC Press. 15.Ajenas, A. M. (2021). Modernising Governance through Technology: Understanding the Scope of Digital India and AI in E-Governance. Research and Reviews: Journal of Social Sciences, 7(8). 16.Parmar, V., Kumar, A., & Reena. (2017). E-Governance Strategies -An Overview. International Journal of Computational Intelligence Research, 13(5),865-871.https://iaeme.com/MasterAdmin/Journal_uploads/IJARM/VOLUME_14_ISSUE_1/IJARM_14_01_001.pdf17.“Summary of the 2018 department of defense artificial intelligence strategy.” [Online]. Available: https://media.defense.gov/2019/Feb/12/ 2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF 18.A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in Neural Information Processing Systems, F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2012. [Online]. Available:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.205 19.C. Szegedy, A. Toshev, and D. Erhan, “Deep Neural Networks for Object Detection,” in Advancesin Neural Information Processing Systems 26. Curran Associates, Inc., 2013, pp. 2553–2561. [Online]. Available: https://papers.nips.cc/paper/5207-deep-neuralnetworks-for-object-detection.pdf 20.L. Tobias, A. Ducournau, F. Rousseau, G. Mercier, and R. Fablet, “Convolutional Neural Networks for object recognition on mobile devices: A case study,” in 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 12 2016, pp. 3530–3535. [Online]. Available: http://ieeexplore.ieee.org/document/7900181/
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