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A Qualitative Exploration of User-Perceived Risks of AI to Inform Design and Policy

  • AI systems pose unknown challenges for designers, policymakers, and users which aggravates the assessment of potential harms and outcomes. Although understanding risks is a requirement for building trust in technology, users are often excluded from legal assessments and explanations of AI hazards. To address this issue we conducted three focus groups with 18 participants in total and discussed the European proposal for a legal framework for AI. Based on this, we aim to build a (conceptual) model that guides policymakers, designers, and researchers in understanding users’ risk perception of AI systems. In this paper, we provide selected examples based on our preliminary results. Moreover, we argue for the benefits of such a perspective.

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Document Type:Conference Object
Author:Lena Recki, Dennis Lawo, Veronika Krauß, Dominik Pins
Parent Title (English):Fröhlich, Cobus (Hg.): Mensch und Computer 2023 – Workshopband, 03.-06. September 2023, Rapperswil (SG)
Publisher:Gesellschaft für Informatik e.V.
Place of publication:Bonn
Date of first publication:2023/08/24
Keyword:AI-Systems; Empirical Study; Risk Perception; explainable AI
Departments, institutes and facilities:Fachbereich Wirtschaftswissenschaften
Institut für Verbraucherinformatik (IVI)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2023/09/13