Artificial intelligence and institutional critique 2.0: unexpected ways of seeing with computer vision-Reference-Cited by-同舟云学术

Artificial intelligence and institutional critique 2.0: unexpected ways of seeing with computer vision

Published:2020-09-14 Issue:4 Volume:36 Page:1201-1223
ISSN:0951-5666
Container-title:AI & SOCIETY
language:en
Short-container-title:AI & Soc

Author:

Pereira Gabriel,Moreschi Bruno

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Human-Computer Interaction,Philosophy

Link

https://link.springer.com/content/pdf/10.1007/s00146-020-01059-y.pdf

Reference39 articles.

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5. Buolamwini J, Gebru T (2018) Gender shades: intersectional accuracy disparities in commercial gender classification. 1st conference on fairness, accountability and transparency. PMLR 81:77–91

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