hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Seven Elements of Phronesis: A Framework for Understanding Judgment in Relation to Automated Decision-Making
Gothenburg University, Gothenburg, Sweden.
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-8529-0072
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-8596-2027
Södertörn University, Huddinge, Sweden.
2023 (English)In: Proceedings of the 56th Hawaii International Conference on System Sciences / [ed] Tung X. Bui, IEEE Computer Society, 2023, Vol. 56, p. 5292-5301Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
IEEE Computer Society, 2023. Vol. 56, p. 5292-5301
Series
Proceedings of the Annual Hawaii International Conference on System Sciences, ISSN 2572-6862 ; 56
Keywords [en]
Artificial intelligence, Judgment, Phronesis, Automated Decision-making
National Category
Information Systems
Research subject
Smart Cities and Communities
Identifiers
URN: urn:nbn:se:hh:diva-50547ISBN: 9780998133164 (print)OAI: oai:DiVA.org:hh-50547DiVA, id: diva2:1763330
Conference
56th Annual Hawaii International Conference on System Sciences (HICSS 2023), Virtual, Online, 3-6 January, 2023
Funder
Swedish Transport AdministrationAvailable from: 2023-06-07 Created: 2023-06-07 Last updated: 2023-11-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Full text

Authority records

Hylving, LenaLindberg, Susanne

Search in DiVA

By author/editor
Hylving, LenaLindberg, Susanne
By organisation
School of Information Technology
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 21 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf