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Citizen-centric and trustworthy AI in the public sector: the cases of Finland and Hungary

Published:20 November 2023Publication History

ABSTRACT

The increasing use of Artificial Intelligence (AI) by the public sector could bring countless benefits to public administrations, but also encompasses many risks for society if not managed or controlled. In 2019, the European Commission, through the high-level expert group on AI, published guidelines for human-centered and trustworthy AI to help EU countries address these risks. By providing examples of national good practices linked to this topic, this short paper aims to explore how human-centric systems and a trustworthy approach to AI are fostered within Member States in the EU. To answer the research question, a case-study approach is selected. In particular, insights and good practices from Finland and Hungary are analysed. The study shows how a successful national story can be the result of a strong commitment to align with European initiatives and policies. In addition, this paper offers insights on the importance of developing interoperable AI solutions.

References

  1. el Rahwan, A. (2022). Artificial Intelligence and Interoperability for Solving Challenges of OSINT and Cross-Border Investigations. European Law Enforcement Research Bulletin, (6), SCE Nr.6: tbd. Retrieved from https://bulletin.cepol.europa.eu/index.php/bulletin/article/view/535Google ScholarGoogle Scholar
  2. European Commission. AI High Level Expert Group [HLEG]. (2019b). Policy and investment recommendations for trustworthy artificial intelligence. https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=60343Google ScholarGoogle Scholar
  3. European Commission. AI High Level Expert Group [HLEG]. (2019a). Ethics guidelines for trustworthy AI. https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-aiGoogle ScholarGoogle Scholar
  4. Nagitta P., , Human-centered artificial intelligence for the public sector: The gate keeping role of the public procurement professional, Procedia Computer Science, Volume 200, 2022, Pages 1084-1092, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2022.01.308.Google ScholarGoogle ScholarDigital LibraryDigital Library

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            ICEGOV '23: Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance
            September 2023
            509 pages
            ISBN:9798400707421
            DOI:10.1145/3614321

            Copyright © 2023 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 20 November 2023

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            Overall Acceptance Rate350of865submissions,40%
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