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Seven Elements of Phronesis: A Framework for Understanding Judgment in Relation to Automated Decision-Making
Gothenburg University, Gothenburg, Sweden.
Högskolan i Halmstad, Akademin för informationsteknologi.ORCID-id: 0000-0002-8529-0072
Högskolan i Halmstad, Akademin för informationsteknologi.ORCID-id: 0000-0002-8596-2027
Södertörn University, Huddinge, Sweden.
2023 (Engelska)Ingår i: Proceedings of the 56th Hawaii International Conference on System Sciences / [ed] Tung X. Bui, IEEE Computer Society, 2023, Vol. 56, s. 5292-5301Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This conceptual paper aims to explore judgment in the context of automated decision-making systems (ADS). To achieve this, we adopt a modern version of Aristotle’s notion of phronesis to understand judgment. We delineate seven elements of judgment which provide insights into what humans are better at, and what AI is better at in relation to automated decision-making. These elements are sources of knowledge that guide action including not-knowing, emotions, sensory perception, experience, intuition, episteme, and techne. Our analysis suggests that most of these attributes are not transferable to AI systems, because judgment in human decision-making requires the integration of all which involves considering the contextual and affective resources of phronesis, and the competence to make value judgments. The paper contributes to unpack human judgment capacities and what needs to be cultivated to achieve ‘good’ AI systems that serves humanity as well as guiding future information systems researchers to explore human-AI judgment further.

Ort, förlag, år, upplaga, sidor
IEEE Computer Society, 2023. Vol. 56, s. 5292-5301
Serie
Proceedings of the Annual Hawaii International Conference on System Sciences, ISSN 2572-6862 ; 56
Nyckelord [en]
Artificial intelligence, Judgment, Phronesis, Automated Decision-making
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Smarta städer och samhällen
Identifikatorer
URN: urn:nbn:se:hh:diva-50547ISBN: 9780998133164 (tryckt)OAI: oai:DiVA.org:hh-50547DiVA, id: diva2:1763330
Konferens
56th Annual Hawaii International Conference on System Sciences (HICSS 2023), Virtual, Online, 3-6 January, 2023
Forskningsfinansiär
TrafikverketTillgänglig från: 2023-06-07 Skapad: 2023-06-07 Senast uppdaterad: 2023-11-17Bibliografiskt granskad

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Hylving, LenaLindberg, Susanne

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Totalt: 21 träffar
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