Algorithmic responsibility without accountability: Understanding data‐intensive algorithms and decisions in organisations.
Social science research has been concerned for several years with the issue of shifting responsibilities in organisations due to the increased use of data‐intensive algorithms. Much of the research to date has focused on the question of who should be held accountable when 'algorithmic decisions' tur...
| Publicado en: | Systems Research & Behavioral Science Vol. 42; no. 3; pp. 739 - 756 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Wiley-Blackwell
May/Jun2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=185257090&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 185257090 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10927026 2SN jtl: Systems Research & Behavioral Science issn: 10927026 maglogo: Y pubinfo: dt: May/Jun2025 vid: 42 iid: 3 pid: 480 pub: Wiley-Blackwell artinfo: ui: 185257090 10.1002/sres.3028 ppf: 739 ppct: 17 formats: tig: atl: Algorithmic responsibility without accountability: Understanding data‐intensive algorithms and decisions in organisations. aug: au: Besio, Cristina Fedtke, Cornelia Grothe‐Hammer, Michael Karafillidis, Athanasios Pronzini, Andrea affil: Institute of Social Sciences, Helmut Schmidt University Hamburg, Hamburg, Germany Department of Sociology and Political Science, Norwegian University of Science and Technology, Trondheim, Norway Evangelische Bank Institut für Ethisches Management, CVJM‐Hochschule, Kassel, Germany Centro Formazione di Polizia, Giubiasco, Switzerland su: Diffusion of innovations Responsibility Uncertainty Decision making Group decision making Trust Algorithms sug: subj: Diffusion of innovations Responsibility Uncertainty Decision making Group decision making Trust Algorithms keyword: accountability and responsibility algorithmic accountability algorithmic decisions Niklas Luhmann organisation theory accountability and responsibility algorithmic accountability algorithmic decisions Niklas Luhmann organisation theory ab: Social science research has been concerned for several years with the issue of shifting responsibilities in organisations due to the increased use of data‐intensive algorithms. Much of the research to date has focused on the question of who should be held accountable when 'algorithmic decisions' turn out to be discriminatory, erroneous or unfair. From a sociological perspective, it is striking that these debates do not make a clear distinction between responsibility and accountability. In our paper, we draw on this distinction as proposed by the German social systems theorist Niklas Luhmann. We use it to analyse the changes and continuities in organisations related to the use of data‐intensive algorithms. We argue that algorithms absorb uncertainty in organisational decision‐making and thus can indeed take responsibility but cannot be made accountable for errors. By using algorithms, responsibility is fragmented across people and technology, while assigning accountability becomes highly controversial. This creates new discrepancies between responsibility and accountability, which can be especially consequential for organisations' internal trust and innovation capacities. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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