Data, Privacy, and the Law: Safeguarding Rights in the New Millennium
Keywords:
GDPR and AI Act interplay, Balancing data protection and AI innovation, Responsible AI Development, Artificial Intelligence, Algorithmic GovernanceAbstract
In the dynamic realm of data governance and technological progression, the confluence of the General Data Protection Regulation, 2018[1] (‘the GDPR, 2018’) and the newly enacted EU Artificial Intelligence Act, 2024[2] (‘AI Act, 2024’) stands as a significant juncture for examination. While the GDPR, 2018 has solidified its reputation as one of the world's most stringent data privacy and security laws, the AI Act, 2024 represents a groundbreaking step in regulating artificial intelligence. This study delves into the intricate relationship between these regulatory frameworks, probing whether they coalesce harmoniously as a potent force for responsible AI advancement or potentially clash in their objectives. The research critically evaluates how the GDPR, 2018 and the AI Act, 2024 intersect, navigating through their shared objectives of safeguarding individual rights while scrutinizing their distinct emphases and compliance requisites. By adopting a multifaceted approach encompassing legal, ethical, and practical dimensions, this article endeavors to unravel the complexities surrounding data protection, algorithmic governance, and the ethical application of AI. Through a comprehensive analysis, the study aims to illuminate whether the symbiotic relationship between the GDPR, 2018 and the AI Act, 2024 indeed fosters a conducive environment for responsible AI development or introduces challenges that impede innovation. By shedding light on the nuances of this regulatory interplay, the research contributes to a deeper comprehension of the opportunities and obstacles inherent in the convergence of data protection and AI governance in the digital era. This examination holds particular relevance for researchers, policymakers, and businesses engaged in the development and deployment of AI systems, offering insights into navigating the evolving landscape of data privacy and technological regulation in the new millennium.
[1] European Data Protection Supervisor. (2024). The History of the General Data Protection Regulation. Retrieved April 27, 2024, from https://www.edps.europa.eu/data-protection/data-protection/legislation/history-general-data-protection-regulation_en
[2] European Parliament. EU Artificial Intelligence Act, 2024. Retrieved April 26, 2024, from https://www.europarl.europa.eu/doceo/document/TA-9-2024-0138_EN.pdf
References
Butt, J. (2023). A Comparative Analysis of the Regulatory Approach And Management Practice For Digital Currencies, And the Role Of International Financial Organizations, In Developing A Global Regulatory Framework For Accounting Standards of Digital Crypto-Currency. The Journal of Accounting and Management, 13(3), pp. 7-21. Retrieved from https://dj.univ-danubius.ro/index.php/JAM/article/view/2586.
Butt, J. (2023). The Impact of Artificial Intelligence (AI) on the Efficiency of Administrative Decision Making Including Ethical & Legal Considerations and Comparative Study about Countries Already Incorporated AI for Administrative Decisions. Acta Universitatis Danubius. Juridica, 19(3), pp. 7-25. Retrieved from https://dj.univ-danubius.ro/index.php/AUDJ/article/view/2560.
Butt, J. (2024). Analytical Study of the World’s First EU Artificial Intelligence (AI) Act. International Journal of Research Publication and Reviews, pp. 7343-7364.
Byanjankar, A.; Mezei, J. & Heikkila, M. (2021). Data-driven optimization of peer-to-peer lending portfolios based on the expected value framework. Intelligent Systems in Accounting, Finance and Management, 28(2), pp. 119-129. Retrieved from https://onlinelibrary.wiley.com/doi/10.1002/isaf.1490.
EDPS. (2024). The History of the General Data Protection Regulation. Retrieved from European Data Protection Supervisor: https://www.edps.europa.eu/data-protection/data-protection/legislation/history-general-data-protection-regulation_en.
Gritsenko, D. & Wood, M. (2022). Algorithmic governance: A modes of governance approach. Regulation & Governance, 16(1), pp. 45-62. Retrieved from https://www.researchgate.net/publication/346876996_Algorithmic_governance_A_modes_of_governance_approach.
Hallamaa, J. & Kalliokoski, T. (2022). AI Ethics as Applied Ethics. Frontiers in computer science, 4, p. 12. Retrieved from https://www.researchgate.net/publication/359803298_AI_Ethics_as_Applied_Ethics.
Harju, A.; Hallikas, J.; Immonen, M. & Lintukangas, K. (2023). The impact of procurement digitalization on supply chain resilience: empirical evidence from Finland. Supply Chain Management, Vol. 28 No. 7, pp. 62-76. Retrieved from https://www.emerald.com/insight/content/doi/10.1108/SCM-08-2022-0312/full/html.
Karttunen, E.; Lintukangas, K. & Hallikas, J. (2023). Digital transformation of the purchasing and supply management process. International Journal of Physical Distribution & Logistics Management, Vol. 53 No. 5/6, pp. 685-706. Retrieved from https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-06-2022-0199/full/html
Khakurel, J. & Blomqvist, K. (2022). Artificial Intelligence Augmenting Human Teams. A Systematic Literature Review on the Opportunities and Concerns. In H. Degen, & S. Ntoa, Artificial Intelligence in HCI. HCII 2022. Lecture Notes in Computer Science. Retrieved from https://www.researchgate.net/publication/360600948_Artificial_Intelligence_Augmenting_Human_Teams_A_Systematic_Literature_Review_on_the_Opportunities_and_Concerns.
Kosurko, A.; Arminen, I.; Herron, R.; Skinner, M. & Stevanovic, M. (2021). Observing Social Connectedness in a Digital Dance Program for Older Adults: An EMCA Approach. In Q. Gao, & J. Zhou, Human Aspects of IT for the Aged Population. Technology Design and Acceptance. HCII 2021. Lecture Notes in Computer Science. Retrieved from https://helda.helsinki.fi/server/api/core/bitstreams/58fa92ee-3f55-4a26-a5a4-ac1bbc6b8dc6/content.
Kuypers, L. (2024). The interaction between Artificial Intelligence and design: an analysis under EU design law.
Mlynar, J.; & Arminen, I. (2023). Respecifying social change: the obsolescence of practices and the transience of technology. Frontiers in Sociology. Retrieved from https://www.frontiersin.org/articles/10.3389/fsoc.2023.1222734/full#h8.
Parliament, E. (2024). EU Artificial Intelligence Act. Retrieved from European Parliament: https://www.europarl.europa.eu/doceo/document/TA-9-2024-0138_EN.pdf.
Schutte, S. B.; Majewski, L. & Havu, K. (2021). Damages Liability for Harm Caused by Artificial Intelligence – EU Law in Flux. Helsinki Legal Studies Research Paper. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3897839.
Stark, A.; Ferm, K.; Hanson, R.; Johansson, M.; Khajavi, S.; Medbo, L. & Holmstrom, J. (2023). Hybrid digital manufacturing: Capturing the value of digitalization. Journal of Operations Management, 69(6), pp. 890-910. Retrieved from https://onlinelibrary.wiley.com/doi/10.1002/joom.1231
Tero, & Erkkilä. (2024). Hybridity in digital and algorithmic public governance. In G. Grossi, & J. Vakkuri, Handbook of Accounting and Public Governance, pp. 32-46. https://www.ippapublicpolicy.org/file/paper/60da17e9ae141.pdf.
Vangard, L. (2024). European AI Act - EU Parliament adopts world’s first multinational regulation of artificial intelligence. Retrieved from https://www.lexology.com/library/detail.aspx?g=1af1b1b2-ff60-4cb6-a84b-b91f52d0d5b8.
Wingstrom, R.; Hautala, J. & Lundman, R. (2022). Redefining Creativity in the Era of AI? Perspectives of Computer Scientists and New Media Artists.
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