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

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dc.contributor.authorRecki, Lena
dc.contributor.authorLawo, Dennis
dc.contributor.authorKrauss, Veronika
dc.contributor.authorPins, Dominik
dc.date.accessioned2023-08-24T06:24:29Z
dc.date.available2023-08-24T06:24:29Z
dc.date.issued2023
dc.description.abstractAI 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.de
dc.identifier.doi10.18420/muc2023-mci-ws16-383
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/42139
dc.publisherGI
dc.relation.ispartofMensch und Computer 2023 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titleA Qualitative Exploration of User-Perceived Risks of AI to Inform Design and Policyde
dc.typeText/Workshop Paper
gi.conference.date3.-6. September 2023
gi.conference.locationRapperswil
gi.conference.sessiontitleMCI-WS16 - UCAI 2023: Workshop on User-Centered Artificial Intelligence

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