ChatGPT Application vis-a-vis Open Government Data (OGD): Capabilities, Public Values, Issues and a Research Agenda | SpringerLink
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ChatGPT Application vis-a-vis Open Government Data (OGD): Capabilities, Public Values, Issues and a Research Agenda

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Electronic Government (EGOV 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14130))

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Abstract

As a novel Artificial Intelligence (AI) application, ChatGPT holds pertinence not only for the academic, medicine, law, computing or other sectors, but also for the public sector-case in point being the Open Government Data (OGD) initiative. However, though there has been some limited (as this topic is quite new) research concerning the capabilities ChatGPT in these sectors, there has been no research about the capabilities it can provide to government concerning its wide range of functions and activities. This paper contributes to filling this gap by investigating the capabilities that the ChatGPT can provide concerning one of most recently initiated and novel, and at the same time most promising, activities of government that aims to fuel the emerging data economy and society: the opening of large amounts of government data; furthermore, we investigate the public values that can be promoted through the use of ChatGPT in the area of OGD by both the data publishers as well as their users. At the same time, we investigate the issues that the use of ChatGPT in the area of OGD can pose, which can reduce the capabilities identified as aforesaid as well as the benefits and public values that can be generated from them. For these purposes interviews with 12 experts have been conducted and their responses have been analyzed. Finally, based on our findings we have developed a research agenda concerning the exploitation of ChatGPT application in the OGD domain.

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Author information

Authors and Affiliations

  1. University of the Aegean, 83200, Samos, Greece

    Euripidis Loukis

  2. Graphic Era University, Uttarakhand, 248002, India

    Stuti Saxena

  3. Gdansk University of Technology, 80-233, Gdańsk, Poland

    Nina Rizun

  4. University of the Aegean, 83200, Samos, Greece

    Maria Ioanna Maratsi, Mohsan Ali & Charalampos Alexopoulos

Authors
  1. Euripidis Loukis
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  2. Stuti Saxena
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  3. Nina Rizun
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  4. Maria Ioanna Maratsi
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  5. Mohsan Ali
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  6. Charalampos Alexopoulos
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Corresponding author

Correspondence to Charalampos Alexopoulos .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Ida Lindgren

  2. Corvinus University of Budapest, Budapest, Hungary

    Csaba Csáki

  3. University of Macedonia, Thessaloniki, Greece

    Evangelos Kalampokis

  4. Delft University of Technology, Delft, The Netherlands

    Marijn Janssen

  5. University for Continuing Education Krems, Krems an der Donau, Austria

    Gabriela Viale Pereira

  6. Vienna University of Economics and Business, Vienna, Austria

    Shefali Virkar

  7. University of Macedonia, Thessaloniki, Greece

    Efthimios Tambouris

  8. Delft University of Technology, Delft, The Netherlands

    Anneke Zuiderwijk

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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: Lindgren, I., et al. Electronic Government. EGOV 2023. Lecture Notes in Computer Science, vol 14130. Springer, Cham. https://doi.org/10.1007/978-3-031-41138-0_7

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  • DOI: https://doi.org/10.1007/978-3-031-41138-0_7

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