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 Ar...

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Vydáno v:German law journal Ročník 25; číslo 2; s. 210 - 236
Hlavní autor: Palmiotto, Francesca
Médium: Journal Article
Jazyk:angličtina
Vydáno: Toronto Cambridge University Press 01.03.2024
Témata:
AI Act
Algorithms
Artificial Intelligence
Asylum
automated decision-making
Automation
Civil society
Classification
Data integrity
Decision makers
Decision making
EU Law
Frame analysis
Fundamental Rights
GDPR
General Data Protection Regulation
Human rights
Law
Legislation
Migration
Mobility
Personal information
Political asylum
Protection
Public administration
Public law
Refugees
Rights
Risk assessment
Taxonomy
United Kingdom > UK
ISSN:2071-8322, 2071-8322
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Shrnutí: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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ISSN:2071-8322
2071-8322
DOI:10.1017/glj.2023.112