Public Functions Implementation by Artificial Intelligence: Current Practices and Prospects for Common Measures within Particular Periods across Continents and Regions
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Wilson, Christopher & van der Velden, Maja, 2022. "Sustainable AI: An integrated model to guide public sector decision-making," Technology in Society, Elsevier, vol. 68(C).
- Yu-Che Chen & Michael J. Ahn & Yi-Fan Wang, 2023. "Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
- Kuziemski, Maciej & Misuraca, Gianluca, 2020. "AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings," Telecommunications Policy, Elsevier, vol. 44(6).
- Atabek Atabekov, 2023. "Artificial Intelligence in Contemporary Societies: Legal Status and Definition, Implementation in Public Sector across Various Countries," Social Sciences, MDPI, vol. 12(3), pages 1-21, March.
- Jonas Tallberg & Eva Erman & Markus Furendal & Johannes Geith & Mark Klamberg & Magnus Lundgren, 2023. "The Global Governance of Artificial Intelligence: Next Steps for Empirical and Normative Research," Papers 2305.11528, arXiv.org.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Matej Babšek & Dejan Ravšelj & Lan Umek & Aleksander Aristovnik, 2025. "Mapping the Adoption of Disruptive Technologies in Public Administration: A Bibliometric Analysis and Review of Practical Applications," SAGE Open, , vol. 15(2), pages 21582440251, May.
- Khalid Alshehhi & Ali Cheaitou & Hamad Rashid, 2025. "Investigating risk elements and critical success factors for AI procurement projects in the public sector: a qualitative approach based on UAE public organisations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(2), pages 446-467, February.
- Agbabiaka, Olusegun & Ojo, Adegboyega & Connolly, Niall, 2025. "Requirements for trustworthy AI-enabled automated decision-making in the public sector: A systematic review," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
- Elbehairy, Farah & Mora, Luca & Soe, Ralf-Martin, 2025. "Who are you? Examining the multifaceted innovation roles of municipal governments in AI governance," Technovation, Elsevier, vol. 147(C).
- Catalin VRABIE, 2024. "Guvernarea electronică 3.0: Un model AI de soluționare automatizată a petițiilor," Smart Cities International Conference (SCIC) Proceedings, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 12, pages 9-28, september.
- Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
- Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
- Michael Gerlich, 2024. "Public Anxieties About AI: Implications for Corporate Strategy and Societal Impact," Administrative Sciences, MDPI, vol. 14(11), pages 1-25, November.
- Albert Sanchez-Graells, 2024. "Resh(AI)ping Good Administration: Addressing the Mass Effects of Public Sector Digitalisation," Laws, MDPI, vol. 13(1), pages 1-15, February.
- Shet, Sateesh V. & Pereira, Vijay, 2021. "Proposed managerial competencies for Industry 4.0 – Implications for social sustainability," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Hrvoje Carić & Ante Mandić & Ivan Sever, 2026. "A six-phase AI-expert framework for evaluating policy coherence in sustainable tourism," Information Technology & Tourism, Springer, vol. 28(1), pages 1-30, June.
- Marinko Skare & Beata Gavurova & Volodymyr Polishchuk, 2026. "Information-analytical system for evaluating artificial intelligence readiness and adoption in enterprises: a policy framework," International Entrepreneurship and Management Journal, Springer, vol. 22(1), pages 1-28, March.
- Catalin Vrabie, 2023. "E-Government 3.0: An AI Model to Use for Enhanced Local Democracies," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
- Chih-Hao Yang & Yen-Yu Liu & Chia-Hsin Chiang & Ya-Wen Su, 2023. "National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view," Annals of Operations Research, Springer, vol. 328(1), pages 1151-1179, September.
- V. Ð . Belyi & Ð . V. Chugunov, 2025. "Implementation of Artificial Intelligence in E-Government Services: Analysis and Prospects," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 5.
- Mayid Alshaer, 2023. "A Systematic Review of the Use of Artificial Intelligence in Managing Innovation in E-Government Organizations Worldwide," International Journal of Technology and Systems, IPRJB, vol. 8(2), pages 65-81.
- Esmat Zaidan & Imad Antoine Ibrahim, 2024. "AI Governance in a Complex and Rapidly Changing Regulatory Landscape: A Global Perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
- Perdana, Arif & Arifin, Saru & Quadrianto, Novi, 2025. "Algorithmic trust and regulation: Governance, ethics, legal, and social implications blueprint for Indonesia's central banking," Technology in Society, Elsevier, vol. 81(C).
- Lucia Vesnic‐Alujevic, 2021. "Imagining democratic societies of the future: Insights from a foresight study," Futures & Foresight Science, John Wiley & Sons, vol. 3(1), March.
- Pengfei Li & Miao Wang, 2025. "RETRACTED ARTICLE: Navigating the Legal Labyrinth: The Future of Data-Driven Platform Labor in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 7016-7038, June.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsoctx:v:13:y:2023:i:7:p:172-:d:1199837. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/gam/jsoctx/v13y2023i7p172-d1199837.html