UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

On the sui generis value capture of new digital technologies: The case of AI

Kazim, Emre; Fenoglio, Enzo; Hilliard, Airlie; Koshiyama, Adriano; Mulligan, Catherine; Trengove, Markus; Gilbert, Abigail; ... Porayska-Pomsta, Kaska; + view all (2022) On the sui generis value capture of new digital technologies: The case of AI. Patterns , 3 (7) , Article 100526. 10.1016/j.patter.2022.100526. Green open access

[thumbnail of 1-s2.0-S2666389922001234-main.pdf]
Preview
PDF
1-s2.0-S2666389922001234-main.pdf - Published Version

Download (1MB) | Preview
Type: Article
Title: On the sui generis value capture of new digital technologies: The case of AI
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.patter.2022.100526
Publisher version: https://doi.org/10.1016/j.patter.2022.100526
Language: English
Additional information: © 2022 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: value theory, information theory, digital assets, ontology, artificial intelligence
UCL classification: UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
URI: https://discovery.ucl.ac.uk/id/eprint/10152006
Downloads since deposit
36Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item