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Verfasst von:Orwat, Carsten [VerfasserIn]   i
 Bareis, Jascha [VerfasserIn]   i
 Folberth, Anja [VerfasserIn]   i
 Jahnel, Jutta [VerfasserIn]   i
 Wadephul, Christian [VerfasserIn]   i
Titel:Normative challenges of risk regulation of artificial intelligence
Verf.angabe:Carsten Orwat, Jascha Bareis, Anja Folberth, Jutta Jahnel, Christian Wadephul
E-Jahr:2024
Jahr:23 August 2024
Umfang:29 S.
Fussnoten:Gesehen am 26.09.2024
Titel Quelle:Enthalten in: Nanoethics
Ort Quelle:Dordrecht : Springer Netherlands, 2007
Jahr Quelle:2024
Band/Heft Quelle:18(2024), 2, Artikel-ID 11, Seite 1-29
ISSN Quelle:1871-4765
Abstract:Approaches aimed at regulating artificial intelligence (AI) include a particular form of risk regulation, i.e. a risk-based approach. The most prominent example is the European Union’s Artificial Intelligence Act (AI Act). This article addresses the challenges for adequate risk regulation that arise primarily from the specific type of risks involved, i.e. risks to the protection of fundamental rights and fundamental societal values. This is mainly due to the normative ambiguity of such rights and societal values when attempts are made to select, interpret, specify or operationalise them for the purposes of risk assessments and risk mitigation. This is exemplified by (1) human dignity, (2) informational self-determination, data protection and privacy, (3) anti-discrimination, fairness and justice, and (4) the common good. Normative ambiguities require normative choices, which are assigned to different actors under the regime of the AI Act. Particularly critical normative choices include selecting normative concepts by which to operationalise and specify risks, aggregating and quantifying risks (including the use of metrics), balancing value conflicts, setting levels of acceptable risks, and standardisation. To ensure that these normative choices do not lack democratic legitimacy and to avoid legal uncertainty, further political processes and scientific debates are suggested.
DOI:doi:10.1007/s11569-024-00454-9
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1007/s11569-024-00454-9
 DOI: https://doi.org/10.1007/s11569-024-00454-9
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Artificial intelligence
 Artificial Intelligence
 Human rights
 Medical Ethics
 Quantification
 Risk governance
 Risk regulation
 Standardisation
K10plus-PPN:1903537614
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