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AI Risks: an Organisational Practice Approach to Trustworthiness
Halmstad University, School of Business, Innovation and Sustainability. University Of Southern Denmark, Odense, Denmark.ORCID iD: 0000-0003-3750-976X
Halmstad University, School of Business, Innovation and Sustainability.
Chalmers University Of Technology, Gothenburg, Sweden.ORCID iD: 0000-0003-4186-8730
2024 (English)In: Association of Researchers in Construction Management, ARCOM 2024 - Proceedings of the 40th Annual Conference / [ed] C. Thomson; C.J. Neilson, Association of Researchers in Construction Management (ARCOM), 2024, p. 129-138Conference paper, Published paper (Refereed)
Abstract [en]

Artificial intelligence (AI) is in need for a framework that balances the opportunities it represents with its risks. But while there is a broad consensus on this, and public regulative initiatives are taken; there is far less knowledge about how these dilemmas/opportunities/risks are played out in practice. The interest into ethics in organisation driven by a discourse on “Trustworthy AI”; makes us wonder whether an ethical approach to AI in organisation is purposeful; or needs modification. We investigate this by viewing the development and use of AI as structuration of practices. The empirical material is our own development of an AI system. Using studies of ethics in moral engineering design; AI is a question of structuration processers with unintended consequences. It is a “slide” from ethics of virtue to ethics of benefit as corroborated by engineers/designers referring ethical dilemmas to managers and politicians. The EU framework of Trustworthy AI for designing and using more accountable AI systems - considering ethics; human autonomy; harm prevention; fairness etc., conflicts with contemporary construction organisations. We propose an extension of the EU guidelines. © Association of Researchers in Construction Management

Place, publisher, year, edition, pages
Association of Researchers in Construction Management (ARCOM), 2024. p. 129-138
Keywords [en]
accident prevention, Artificial Intelligence, contemporary organisation, ethics, EU guidelines, explainable AI, trustworthy AI
National Category
Ethics Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hh:diva-54904Scopus ID: 2-s2.0-85208289424ISBN: 9780995546387 (print)OAI: oai:DiVA.org:hh-54904DiVA, id: diva2:1918820
Conference
40th Annual Conference on Association of Researchers in Construction Management, ARCOM 2024, London, United Kingdom, 2-4 September, 2024
Available from: 2024-12-06 Created: 2024-12-06 Last updated: 2025-10-01Bibliographically approved

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Koch, ChristianShayboun, May

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CiteExportLink to record
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Citation style
  • apa
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Output format
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