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Strengthening human autonomy in the era of autonomous technology
University of Oslo, Department of Informatics, Norway.
University of Oslo, Department of Informatics, Norway.
University of Oslo, Department of Informatics, Norway.
Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för psykologi.ORCID-id: 0000-0003-4996-222X
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2022 (Engelska)Ingår i: Scandinavian Journal of Information Systems, ISSN 0905-0167, E-ISSN 1901-0990, Vol. 34, nr 2, s. 163-198, artikel-id 5Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

‘Autonomous technologies’ refers to systems that make decisions without explicit human control or interaction. This conceptual paper explores the notion of autonomy by first exploring human autonomy, and then using this understanding to analyze how autonomous technology could or should be modelled. First, we discuss what human autonomy means. We conclude that it is the overall space for action—rather than the degree of control—and the actual choices, or number of choices, that constitutes human autonomy. Based on this, our second discussion leads us to suggest the term datanomous to denote technology that builds on, and is restricted by, its own data when operating autonomously. Our conceptual exploration brings forth a more precise definition of human autonomy and datanomous systems. Finally, we conclude this exploration by suggesting that human autonomy can be strengthened by datanomous technologies, but only if they support the human space for action. It is the purpose of human activity that determines if technology strengthens or weakens human autonomy.

Ort, förlag, år, upplaga, sidor
IRIS Association , 2022. Vol. 34, nr 2, s. 163-198, artikel-id 5
Nyckelord [en]
artificial intelligence, datanomous technology, human autonomy, machine autonomy, philosophy of technology, robots, situated abilities, smart insulin pump
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Identifikatorer
URN: urn:nbn:se:umu:diva-204074Scopus ID: 2-s2.0-85146231074OAI: oai:DiVA.org:umu-204074DiVA, id: diva2:1731497
Tillgänglig från: 2023-01-27 Skapad: 2023-01-27 Senast uppdaterad: 2023-12-14Bibliografiskt granskad

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Schimmer, RobynCampano, Erik

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Schimmer, RobynCampano, Erik
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Institutionen för psykologiInstitutionen för informatik
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Scandinavian Journal of Information Systems
Systemvetenskap, informationssystem och informatik

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Totalt: 193 träffar
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