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When Is a Decision Automated? A Taxonomy for a Fundamental Rights Analysis

  • This Article addresses the pressing issues surrounding the use of automated systems in public decision-making, specifically focusing on migration, asylum, and mobility. Drawing on empirical data, this Article examines the potential and limitations of the General Data Protection Regulation and the Artificial Intelligence Act in effectively addressing the challenges posed by automated decision-making (ADM). The Article argues that the current legal definitions and categorizations of ADM fail to capture the complexity and diversity of real-life applications where automated systems assist human decision-makers rather than replace them entirely. To bridge the gap between ADM in law and practice, this Article proposes to move beyond the concept of “automated decisions” and complement the legal protection in the GDPR and AI Act with a taxonomy that can inform a fundamental rights analysis. This taxonomy enhances our understanding of ADM and allows to identify the fundamental rights at stake and the sector-specific legislation applicable to ADM. The Article calls for empirical observations and input from experts in other areas of public law to enrich and refine the proposed taxonomy, thus ensuring clearer conceptual frameworks to safeguard individuals in our increasingly algorithmic society.

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Metadaten
Document Type:Article
Language:English
Author(s):Francesca PalmiottoORCiD
Parent Title (English):German Law Journal
ISSN:2071-8322
Publisher:Cambridge University Press
Publication year:2024
Publishing Institution:Hertie School
First Page:210
Last Page:236
DOI:https://doi.org/10.1017/glj.2023.112
Release Date:2024/06/26
Tag:Centre for Fundamental Rights
Volume:25
Issue:2
Hertie School Research:Centre for Fundamental Rights
Licence of document (German):Metadaten / metadata
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