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Exploring the Potential of AI&MDL for Enhancing E-Government Services: A Review Paper

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Electronic Government and the Information Systems Perspective (EGOVIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14149))

Abstract

E-government services aim to make government services more accessible, efficient, and user-friendly through electronic means. The combination of artificial intelligence, machine learning, and deep learning (AI&MDL) can help to automate manual processes, reduce waiting time, and provide more personalized services. This study explores the potential of AI&MDL for enhancing e-government services through a comprehensive review of the available literature. The study focuses on three key research questions: (1) How can AI&MDL be used in the efficiency of e-government services? (2) What are the potential benefits and challenges associated with the implementation of AI&MDL in e-government services? (3) What strategies can be employed to ensure the security and privacy of data collected through AI&MDL in e-government services? The literature review reveals that AI&MDL can greatly use for the efficiency of e-government services and provide several benefits, including improved service quality, increased transparency, and enhanced citizen engagement. However, implementing AI&MDL also presents challenges, such as security and privacy risks and the need for significant investments in technology and infrastructure. Governments must consider the security and privacy of sensitive data and implement strategies to ensure that AI&MDL systems are transparent, accountable, and secure. In conclusion, AI&MDL has the potential to revolutionize e-government services, but the implementation must be carefully considered to ensure that the benefits are maximized while minimizing the potential risks. This study provides valuable insights into the current state and offers important considerations for governments and policymakers.

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Authors and Affiliations

  1. Corvinus University of Budapest, Fovam Ter 1093, Budapest, Hungary

    Asefeh Asemi & Andrea Ko

  2. Faculty of Computer Science and Information Technology, Universiti Malaya, 50603, Kuala Lumpur, Malaysia

    Adeleh Asemi

Authors
  1. Asefeh Asemi
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  2. Adeleh Asemi
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  3. Andrea Ko
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Correspondence to Andrea Ko .

Editor information

Editors and Affiliations

  1. Corvinus University of Budapest, Budapest, Hungary

    Andrea Kö

  2. Italian National Research Council, Florence, Italy

    Enrico Francesconi

  3. University of Malaya, Kuala Lumpur, Malaysia

    Adeleh Asemi

  4. Johannes Kepler University Linz, Linz, Austria

    Gabriele Kotsis

  5. Vienna University of Technology, Vienna, Austria

    A Min Tjoa

  6. Johannes Kepler University Linz, Linz, Austria

    Ismail Khalil

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Asemi, A., Asemi, A., Ko, A. (2023). Exploring the Potential of AI&MDL for Enhancing E-Government Services: A Review Paper. In: Kö, A., Francesconi, E., Asemi, A., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2023. Lecture Notes in Computer Science, vol 14149. Springer, Cham. https://doi.org/10.1007/978-3-031-39841-4_9

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  • DOI: https://doi.org/10.1007/978-3-031-39841-4_9

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