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Beyond ‘Our product is trusted!’ – A processual approach to trust in AI healthcare
Malmö University, Faculty of Culture and Society (KS), Department of Global Political Studies (GPS). Malmö University, Citizen Health. (Precision Health and Everyday Democracy, Rethinking Democracy (REDEM))ORCID iD: 0000-0002-2903-7267
2024 (English)In: Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024) Malmö, Sweden, June 10-11, 2024 / [ed] Petter Ericson; Nina Khairova; Marina De Vos, Ceur , 2024, Vol. 3825, p. 59-68Conference paper, Published paper (Refereed)
Abstract [en]

Trust in AI healthcare technologies is often treated as an obtainable end-state enforceable byregulation, in which developers can claim their product to be ‘trusted’. The article shows thelimits of this approach, arguing instead for a processual understanding in which trust isunderstood to be dynamic and forever a state ‘to come’. The argument is developed byconsidering several types of trust relations amongst key stakeholders in AI healthcare, includingwhere developers often distrust users. Drawing on political theory and Coactive Design, thearticle argues that trust relations as a negotiation are integral to a well-functioning designprocess that not only supports the moral acceptability of AI healthcare technologies but also theirinnovation and efficacy.

Place, publisher, year, edition, pages
Ceur , 2024. Vol. 3825, p. 59-68
Series
Ceur Workshop Proceedings, E-ISSN 1613-0073
Keywords [en]
Trust, Healthcare, Artificial Intelligence, Process, Coactive Design1
National Category
Globalisation Studies Public Health, Global Health, Social Medicine and Epidemiology Computer Systems
Research subject
Global politics; Health and society studies; Interaktionsdesign
Identifiers
URN: urn:nbn:se:mau:diva-72285Scopus ID: 2-s2.0-85210319824OAI: oai:DiVA.org:mau-72285DiVA, id: diva2:1914539
Conference
Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024) Malmö, Sweden, June 10-11, 2024
Part of project
PHED - Precision Health and Everyday Democracy, The Swedish Foundation for International Cooperation in Research and Higher Education (STINT)Available from: 2024-11-19 Created: 2024-11-19 Last updated: 2025-01-23Bibliographically approved

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Strange, Michael

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Citation style
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Output format
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