Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Machine Capacity of Judgment

An interdisciplinary approach for making machine intelligence transparent to end-users

Bibliographic Data

ID11240135
AuthorsAurelia Tamò‐larrieux (0000-0003-3404-7643, Maastricht University, corresponding author), Andrei Ciortea (0000-0003-0721-4135, University of St.Gallen), Simon Mayer (0000-0001-6367-3454, University of St.Gallen)
Year2022
Volume71
Pages102088
Publication date2022-11-01
Open AccessYes
TypeARTICLE
VenueTechnology in Society (JOURNAL)
Journal identifiersISSN: 0160-791X • E-ISSN: 1879-3274
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techsoc.2022.102088
OpenAlexW4292236744
LanguageEN
References cited16

Autonomy · Categorization · Political science · Surprise · Computer Science · Ethics and Social Impacts of AI · Free Will and Agency · Law · Law, Economics, and Judicial Systems · Psychology · Social Psychology · Artificial Intelligence

  • Intention, Plans, and Practical Reason

    Michael Bratman•Intention, Plans, and Practical…•1990

  • Artificial moral and legal personhood

    Open Access•John-Stewart Gordon, John‐Stewart Gordon•AI & Society•2021

  • Legislating personhood

    Open Access•Eilionóir Flynn, Anna Arstein-Kerslake•International Journal of Law in…•2014

  • Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing

    Open Access•Christian Hugo Hoffmann•Technology in Society•2022

  • Trust as indicator of robot functional and social acceptance. An experimental study on user conformation to iCub answers

    Open Access•Ilaria Gaudiello, Elisabetta Zibetti et al.•Computers in Human Behavior•2016

  • Situating methods in the magic of Big Data and AI

    M C Elish, Drick Boyd et al.•Communication Monographs•2017

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae