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Courts as Anthrobots: Learning from Human Forms of Interaction to Develop a Philosophically Healthy Model for Judicial Automation
Örebro University, School of Behavioural, Social and Legal Sciences.ORCID iD: 0000-0003-3141-4954
University of Turku, Marie Skłodowska-Curie Fellow at the Turku Institute for Advanced Studies, Finland.ORCID iD: 0000-0001-5875-9851
2024 (English)In: International Journal for Court Administration, E-ISSN 2156-7964, Vol. 15, no 2Article in journal (Refereed) Published
Abstract [en]

Automation of the judicial process has been the subject of debate among researchers and policymakers for some time. Partial automation of the judicial process always involves interaction between humans (judges, jurors, and other parties involved in court proceedings) and machines (software programs). These human-machine collaborations can be considered "anthrobotic systems" and we argue they should be designed with an understanding of the specific groups they are intended to serve. This article proposes a philosophical-conceptual framework that could contribute to a socially and ethically sound automation of court procedures. The automation of court procedures should be to a certain extent optimized for the legal tradition or group ethos in which it is developed and implemented. The concept of esprit de corps can be a useful tool for introducing more pluralism in the design of anthrobotic systems.

Place, publisher, year, edition, pages
The International Association for Court Administration , 2024. Vol. 15, no 2
Keywords [en]
courts, anthrobots, judiciary, automation, philosophy, human-machine interaction, esprit de corps
National Category
Law (excluding Law and Society) Philosophy
Research subject
Law
Identifiers
URN: urn:nbn:se:oru:diva-115747DOI: 10.36745/ijca.525Scopus ID: 2-s2.0-85203297580OAI: oai:DiVA.org:oru-115747DiVA, id: diva2:1894196
Funder
Riksbankens Jubileumsfond, F20-0004, F22-0056Available from: 2024-09-02 Created: 2024-09-02 Last updated: 2025-01-20Bibliographically approved

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Kelemen, Katalin

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