AI UNLEASHED: MASTERING THE MAZE OF THE EU AI ACT
The European Union’s Artificial Intelligence Act represents a pioneering endeavour to align the utilization of artificial intelligence (AI) with stringent ethical and safety norms, heralding a transformative phase for various professions. This paper delves into the Act’s deliberate attempt to strike a delicate equilibrium between encouraging technological innovation and imposing strict accountability measures, especially in contexts where AI is deemed high-risk. By analyzing the repercussions for critical sectors including healthcare, finance, and technology, we expose the paradoxical nature of compliance: it poses a formidable challenge necessitating comprehensive ethical guidelines, yet simultaneously acts as a stimulus for the development of groundbreaking ethical AI methodologies. Furthermore, we accentuate the worldwide influence of the EU’s regulatory framework, providing key strategic recommendations for adeptly manoeuvring through the dynamic AI regulatory environment. In essence, “AI Unleashed: Mastering the Maze of the EU AI Act” encapsulates the transformative potential of regulatory obstacles as avenues for fostering ethical innovation and propelling professional growth..
Keywords: artificial intelligence, EU AI Act, high risk AI, ethics, compliance.
Antun, V. et al. 2020. On instabilities of deep learning in image reconstruction and the potential costs of AI. Proceedings of the National Academy of Sciences, 117(48), pp. 30088-30095. https://doi.org/10.1073/pnas.1907377117
Binns, R. 2018. Fairness in Machine Learning: Lessons from Political Philosophy. Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR, 81, pp. 149-159.
Bono, T., Croxson, K. & Giles, A. 2021. Algorithmic fairness in credit scoring, Oxford Review of Economic Policy, 37(3), pp. 585–617. https://doi.org/10.1093/oxrep/grab020
Bullock, J. et al. 2020. Mapping the landscape of artificial intelligence applications against COVID-19. Journal of Artificial Intelligence Research, 69, pp. 807-845. https://doi.org/10.1613/jair.1.12162
Clifford Chance. 2021. The future of AI regulation in Europe and its global impact. Available at: https://www.cliffordchance.com/content/dam/cliffordchance/briefings/2021/05/the-future-of-ai-regulation-in-europe-and-its-global-impact.pdf (11. 7. 2024).
D’Acunto, F., Prabhala, N. & Rossi, A. 2019. The Impact of Artificial Intelligence on the Financial Services Industry. Journal of Financial Economics, 133(2), pp. 223-251.
de Graaf, T. & Veldt, B. 2022. The AI Act and Its Impact on Product Safety, Contracts and Liability, European Review of Private Law, 30(5), pp. 803-834. https://doi.org/10.54648/erpl2022038
Esteva, A. et al. 2017. Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), pp. 115-118. https://doi.org/10.1038/nature21056
Ebers, M. & Schaar, P. 2023. Risk Management in the Artificial Intelligence Act. European Journal of Risk Regulation, 14(1), pp. 34-58.
Feigenbaum, E. A. 1981. Knowledge engineering: The applied side of artificial intelligence. Annals of the New York Academy of Sciences, 426(1), pp. 91-107. https://doi.org/10.1111/j.1749-6632.1984.tb16513.x
Figalist, I. et al. 2021. Fast and curious: A model for building efficient monitoring- and decision-making frameworks based on quantitative data. Information & Software Technology, 130, 106458. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0950584920302044 (10. 10. 2024). https://doi.org/10.1016/j.infsof.2020.106458
Finocchiaro, G. 2024. The regulation of artificial intelligence. AI & SOCIETY, 39, pp. 1961-1968. https://doi.org/10.1007/s00146-023-01650-z
Floridi, L. et al. 2018. AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds & Machines, 28, pp. 689–707. https://doi.org/10.1007/s11023-018-9482-5
Goodall, N. J. et al. 2017. AI in Transportation: Current and Future Developments. Transportation Research Part C: Emerging Technologies, 77, pp. 207-225. https://doi.org/10.1016/j.trc.2017.01.022
Gomez-Uribe, C. A. & Hunt, N. 2015. The Netflix Recommender System: Algorithms, Business Value, and Innovation. ACM Transactions on Management Information Systems, 6(4), pp. 1-19. https://doi.org/10.1145/2843948
Jiang, F. et al. 2017. Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4), pp. 230-243. https://doi.org/10.1136/svn-2017-000101
Labadze, L., Grigolia, M. & Machaidze, L. 2023. Role of AI chatbots in education: systematic literature review. Educational Technology Journal, 15(2), pp. 123-145. https://doi.org/10.1186/s41239-023-00426-1
LeCun, Y., Bengio, Y. & Hinton, G. 2015. Deep learning. Nature, 521(7553), pp. 436-444. https://doi.org/10.1038/nature14539
Litman T. 2018. Autonomous Vehicle Implementation Predictions: Implications for Transport Planning. Report for the Victoria Tr, Policy Inst.
Mancheva, G. (2022). European regulatory framework on artificial intelligence in the SME sector – a risk based approach. In: Artificial intelligence in the field of security – advantages and threats, Plovdiv, pp. 175-179.
McCarthy, J. et al. 1955. A proposal for the Dartmouth summer research project on artificial intelligence. Available at: https://www-formal.stanford.edu/jmc/history/dartmouth/dartmouth.html (3. 7. 2024).
Menengola, E., Gabardo, E. & González Sanmiguel, N. N. 2023. The proposal of the European regulation on artificial intelligence. Sequência: Estudos Jurídicos e Políticos, 44(91), pp. 45-66. https://doi.org/10.5007/2177-7055.2022.e91435
Mendes, L. S., Doneda, D. & Almeida, V. 2023. On the Development of AI Governance Frameworks. IEEE Internet Computing, 27(1), pp. 32-40. https://doi.org/10.1109/MIC.2022.3186030
MIT Technology Review. 2024. What’s next for AI regulation in 2024? Available at: https://www.technologyreview.com/2024/01/05/1086203/whats-next-ai-regulation-2024/ (11. 7. 2024).
Moor, J. 2006. The Dartmouth College Artificial Intelligence Conference: The Next Fifty Years. AI Magazine, 27(4), pp. 87-89. https://doi.org/10.1609/aimag.v27i4.1911
Newell, A. & Simon, H. A. 2016. GPS, a program that simulates human thought. Computers and Thought, 4, pp. 279-293.
Ngai, E. W. et al. 2011. The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems, 50(3), pp. 559-569. https://doi.org/10.1016/j.dss.2010.08.006
Pehlivan, C. N. 2024. The EU Artificial Intelligence (AI) Act: An Introduction. Global Privacy Law Review, 5(1), pp. 12-28. https://doi.org/10.54648/GPLR2024004
Rajkomar, A. et al. 2018. Ensuring Fairness in Machine Learning to Advance Health Equity. Annals of Internal Medicine, 169(12), pp. 866-872. https://doi.org/10.7326/M18-1990
Rolnick, D. et al. 2019. Tackling climate change with machine learning. ACM Computing Surveys, 55(2), pp. 1-96. https://doi.org/10.1145/3485128
Russell, S. J. & Norvig, P. 2021. Artificial Intelligence: A Modern Approach. New York: Pearson Education.
Sabl, A. 2021. The paradox of innovation. Journal of Economic Behavior and Organization, 183, pp. 1-16.
Shafafi, P. & Sabel, M. 2024. So far in 2024: AI innovation, regulation, and the ethical frontier. Designit. Available at: https://www.designit.com/stories/point-of-view/so-far-in-2024-ai-innovation-regulation-ethical (11. 7. 2024).
Sharma, A. & Kumar, A. 2021. Applications of AI in Various Sectors: A Review. International Journal of Advanced Research in Artificial Intelligence, 10(3), pp. 112-125.
Smith, C. & Tsotsos, J. K. 1998. The History of Artificial Intelligence. AI Magazine, 19(3), pp. 19-31.
Turk, Ž. 2024. Regulating artificial intelligence: A technology-independent approach. European View, 23(1), pp. 89-104. https://doi.org/10.1177/17816858241242890
Wagner, M. et al. 2024. Navigating the Upcoming European Union AI Act. IEEE Software, 41(1), pp. 22-30. https://doi.org/10.1109/MS.2023.3322913
Weizenbaum, J. 1966. ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), pp. 36-45. https://doi.org/10.1145/365153.365168
Internet Sources
Brookings. 2024. Regulating general-purpose AI: Areas of convergence and divergence across the EU and the US. Available at: https://www.brookings.edu/articles/regulating-general-purpose-ai-areas-of-convergence-and-divergence-across-the-eu-and-the-us/ (11. 7. 2024).
Center for Information Policy Leadership – Hunton Andrews Kurth. 2020. How GDPR Regulates AI’. Information Policy Centre. Available at: https://www.informationpolicycentre.com/uploads/5/7/1/0/57104281/cipl-hunton_andrews_kurth_legal_note_-_how_gdpr_regulates_ai__12_march_2020_.pdf (9.7.2024).
European Commission. 2019. Ethics guidelines for trustworthy AI. Available at: https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai (9. 7. 2024).
European Commission. 2020. White Paper on Artificial Intelligence: a European approach to excellence and trust. Available at: https://commission.europa.eu/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en (11. 7. 2024).
European Commission. 2024a. Excellence and Trust in Artificial Intelligence. Available at: https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/excellence-and-trust-artificial-intelligence_en (11. 7. 2024).
European Commission. 2024b. Regulatory framework proposal on artificial intelligence. Available at: https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai (11. 7. 2024).
Züehlke. 2023. EU AI Act: how AI law will impact innovation. Available at: https://www.zuehlke.com/en/insights/how-will-the-eu-ai-act-impact-ai-innovation (11. 7. 2024).
Legal Sources
EU AI Act. 2024. Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonized rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2018/2002 Chapter I: General Provisions Article 1: Subject Matter) Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202401689 (3. 7. 2024).