Cover Image
QR Code

Normative Challenges of Risk Regulation of Artificial Intelligence.

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...

Full description

Published in:NanoEthics Vol. 18; no. 2; pp. 1 - 30
Main Authors: Orwat, Carsten, Bareis, Jascha, Folberth, Anja, Jahnel, Jutta, Wadephul, Christian
Format: Article
Published: Springer Nature Aug2024
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=179248449&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 179248449
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        18714757
        46ON
      jtl: NanoEthics
      issn: 18714757
      maglogo: N
    pubinfo:
      dt: Aug2024
      vid: 18
      iid: 2
      pid: 237
      pub: Springer Nature
    artinfo:
      ui:
        179248449
        10.1007/s11569-024-00454-9
      ppf: 1
      ppct: 29
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 724KB
      tig:
        atl: Normative Challenges of Risk Regulation of Artificial Intelligence.
      aug:
        au:
          Orwat, Carsten
          Bareis, Jascha
          Folberth, Anja
          Jahnel, Jutta
          Wadephul, Christian
        affil:
          https://ror.org/04t3en479 Karlsruhe Institute of Technology, Institute for Technology Assessment and Systems Analysis, Karlstrasse 11, 76133, Karlsruhe, Germany
          https://ror.org/038t36y30 University of Heidelberg, Institute of Political Science, Heidelberg, Germany
      sug:
      keyword:
        Artificial intelligence
        Human rights
        Quantification
        Risk governance
        Risk regulation
        Standardisation
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: NanoEthics is a copyright of Springer, 2024. All Rights Reserved.
      item: NanoEthics
      holder: Springer Nature
      dt:
        @attributes:
          year: 2024
    holdings:
      @attributes:
        islocal: N