The impact of AI regulation on cybersecurity legislation in public administration

(Part 1)

Authors

  • Ervín Šimko Akadémia Policajného zboru v Bratislave
  • Matúš Mesarčík Comenius University in Bratislava, Faculty of Law

DOI:

https://doi.org/10.62874/afi.2024.2.08

Keywords:

Artifical intelligence, cybersecurity, information technologies in public governance

Abstract

The rapid development of artificial intelligence (AI) is significantly changing the functioning of various areas of social and economic life, including public administration. This technology brings new opportunities, such as process automation, more efficient data processing, and the provision of higher-quality services to citizens. On the other hand, AI also introduces new threats, particularly in the field of cybersecurity, as it increases the risks of attacks on digital systems and infrastructure. Therefore, it is essential that the existing cybersecurity legislation in public administration adapts to these technological changes. The aim of this article is to analyze in detail how AI regulation impacts cybersecurity legislation in the public administration of the Slovak Republic. A key part of the research will focus on the thorough analysis of the effects of the European Union regulation no. 2024/1689, known as the Artificial Intelligence Act, on legal provisions related to cybersecurity and their practical application. The outcome will be the identification of key areas where amendments and updates to the legislative framework are required.

References

1. AGARWAL, P. Public Administration Challenges in the World of AI and Bots. In Public Administration Review. Volume 78, Issue 6, s. 917-921

2. EU Cyber Resilience Act. Dostupné na: https://digital-strategy.ec.europa.eu/en/policies/cyber-resilience-act.

3. EURÓPSKA KOMISIA. Commission staff working document impact assessment accompanying the proposal for a regulation of the european parliament and of the council laying down harmonised rules on artificial intelligence (artificial intelligence act) and amending certain union legislative acts. {COM(2021) 206 final} - {SEC(2021) 167 final} - {SWD(2021) 85 final}.

4. GOBBLE, M. Digital strategy and digital transformation. In Res Technol. Manag. 61(5), s. 66–71.

5. HAMIRUL, D. The Role of Artificial Intelligence in Government Services: A Systematic Literature Review. In Open Access Indonesia Journal of Social Sciences 6 (3), 998-1003. Dostupné na: https://doi.org/10.37275/oaijss.v6i3.163.

6. JARRAHI, M.H. et al. Artificial intelligence and knowledge management: A partnership between human and AI. In Business Horizons. Volume 66, Issue , January–February 2023, s. 87-99.

7. JUNKLEWITZ, H. et al. Cybersecurity of Artificial Intelligence in the AI Act. Publications Office of the European Union, Luxembourg, 2023. [online]. [cit. 10-9-2024]. Dostupné na: doi:10.2760/271009, JRC134461.

8. KARLIN, M. et al. Responsible Artificial Intelligence in the Government of Canada: Digital Disruption. White Paper Series, Version 2.0, s. 3.

9. KPMG. Decoding the EU AI Act. [online]. [cit. 10-9-2024]. Dostupné na: https://assets.kpmg.com/content/dam/kpmg/xx/pdf/2024/02/decoding-the-eu-artificial-intelligence-act.pdf.

10. KRISHNAN, S.R. et al. Smart Water Resource Management Using Artificial Intelligence —A Review. In Sustainability 2022, 14, 13384. Dostupné na: https://doi.org/10.3390/su142013384.

11. KUBLER, K. State of Urgency: Surveillance, Power and Algorithms in France’s State of Emergency. In 4:2 Big Data & Soc 1, 2019.

12. LAMBERTI, L. et al. Benefits sought by citizens and channel attitudes for multichannel payment services: evidence from Italy. In Gov Inf Q. 31(4), s. 596–609.

13. MICRO.AI. Enabling Predictive Maintenance in Energy Production. [online]. [cit. 10-9-2024]. Dostupné na: https://micro.ai/resources/

enabling-predictive-maintenance-in-energy-production.

14. MIKHAYLOV, S. et al. Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration. In Philos Trans R Soc. 376(2128):20170357.

15. PAPERNOT, N. et al. Towards the Science of Security and Privacy in Machine Learning. ArXiv [online]. [cit. 10-9-2024]. Dostupné na:: https://doi.org/10.48550/arXiv.1611.03814.

16. ROOSEN, M. What SyRi can teach us about technical solutions for societal challenges. Global Data Justice (20 February 2020). [online]. [cit. 10-9-2024]. Dostupné na: https://globaldatajustice.org/2020-02-20-roosen-syri.

17. SAKHNINI., J. et al. In: CHOO, KK., DEHGHANTANHA, A. (eds) Handbook of Big Data Privacy. Springer, Cham. Dostupné na: https://doi.org/10.1007/978-3-030-38557-6_2.

18. SOLER GARRIDO, J. et al. Analysis of the preliminary AI standardisation work plan in support of the AI Act, EUR 31518 EN, Publications Office of the European Union, Luxembourg, 2023, ISBN 978-92-68-03924-3, doi:10.2760/5847, JRC132833.

19. UBALDI, B. et al. State of the art in the use of emerging technologies in the public sector. OECD Working Papers on Public Governance No. 34, GOV/PGC/EGOV(2019)13. [online]. [cit. 10-9-2024]. Dostupné na: https://doi.org/10.1787/932780bc-en.

Downloads

Published

2024-12-10