The regulation of AI-based migration technologies under the EU AI Act: (Still) operating in the shadows?

被引:0
|
作者
Stewart, Ludivine Sarah [1 ]
机构
[1] European Univ Inst, Law Dept, Fiesole, Italy
关键词
D O I
10.1111/eulj.12516
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
While Artificial Intelligence (AI) is becoming a key element in supporting the migration and border management policies of the European Union and its Member States, so far, AI-based migration technologies have been tested and implemented with limited public scrutiny. In this context, the EU AI Act holds the promise of a regulation in line with the protection of fundamental rights and the rule of law. While Member States are bound by existing EU legislation when deploying AI, the Act represents the first attempt to regulate this technology in migration and border management. This paper examines the evolution of the Act throughout the negotiation process and its potential to hold actors involved in AI-driven migration technology accountable, thereby promoting the rule of law. It argues that while the regulation offers promising and important elements, a closer examination brings to light important concerns about its ability to ensure accountability.
引用
收藏
页码:122 / 135
页数:14
相关论文
共 50 条
  • [31] AIRO: An Ontology for Representing AI Risks Based on the Proposed EU AI Act and ISO Risk Management Standards
    Golpayegani, Delaram
    Pandit, Harshvardhan J.
    Lewis, Dave
    TOWARDS A KNOWLEDGE-AWARE AI, 2022, 55 : 51 - 65
  • [32] AI-Based Music Recommendation Algorithm under Heterogeneous Network Platform
    Wang, Huan
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [33] AI-based monitoring of retinal fluid in disease activity and under therapy
    Schmidt-Erfurth, Ursula
    Reiter, Gregor S.
    Riedl, Sophie
    Seeboeck, Philipp
    Vogl, Wolf-Dieter
    Blodi, Barbara A.
    Domalpally, Amitha
    Fawzi, Amani
    Jia, Yali
    Sarraf, David
    Bogunovic, Hrvoje
    PROGRESS IN RETINAL AND EYE RESEARCH, 2022, 86
  • [34] Regulation of depth of hypnosis through optimized AI-based robust nonlinear controller
    Imam, Mishal
    Ahmad, Iftikhar
    Nazir, Muhammad Saqib
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2025, 104
  • [35] AI-based data mining approach to control the environmental impact of conventional energy technologies
    Szramowiat-Sala, Katarzyna
    Penkala, Roch
    Horak, Jiri
    Krpec, Kamil
    Hopan, Frantisek
    Rysavy, Jiri
    Borovec, Karel
    Gorecki, Jerzy
    JOURNAL OF CLEANER PRODUCTION, 2024, 472
  • [36] Cloud Readiness Planning Tool (CRPT): an AI-based Framework to Automate Migration Planning
    Lin, Chen
    Sun, Hongtan
    Hwang, Jinho
    Vukovic, Maja
    Rofrano, John
    2019 IEEE 12TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (IEEE CLOUD 2019), 2019, : 58 - 62
  • [37] Operating AI systems in the electricity sector under European's AI Act - Insights on compliance costs, profitability frontiers and extraterritorial effects
    Heymann, F.
    Parginos, K.
    Bessa, R. J.
    Galus, M.
    ENERGY REPORTS, 2023, 10 : 4538 - 4555
  • [38] Cascaded H-bridge multilevel inverter drives operating under faulty condition with AI-Based fault diagnosis and reconfiguration
    Khomfoi, Surin
    Tolbert, Leon A.
    Ozpineci, Burak
    IEEE IEMDC 2007: PROCEEDINGS OF THE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, VOLS 1 AND 2, 2007, : 1649 - +
  • [39] Predictions through Lean startup? Harnessing AI-based predictions under uncertainty
    Raneri, Santo
    Lecron, Fabian
    Hermans, Julie
    Fouss, Francois
    INTERNATIONAL JOURNAL OF ENTREPRENEURIAL BEHAVIOR & RESEARCH, 2023, 29 (04): : 886 - 912
  • [40] Exploring STEAM teachers’ trust in AI-based educational technologies: a structural equation modelling approach
    Musa Adekunle Ayanwale
    Owolabi Paul Adelana
    Tolulope Timothy Odufuwa
    Discover Education, 3 (1):