Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Published September 19, 2020 | Version v3
Preprint Open

Excavating "Excavating AI": The Elephant in the Gallery

  • 1. Ritsumeikan University

Description

Two art exhibitions, “Training Humans” and “Making Faces,” and the accompanying essay “Excavating AI: The politics of images in machine learning training sets” by Kate Crawford and Trevor Paglen, are making substantial impact on discourse taking place in the social and mass media networks, and some scholarly circles. Critical scrutiny reveals, however, a self-contradictory stance regarding informed consent for the use of facial images, as well as serious flaws in their critique of ML training sets. Our analysis underlines the non-negotiability of informed consent when using human data in artistic and other contexts, and clarifies issues relating to the description of ML training sets.

The following article provides a more detailed exposition of the fallacies concerning JAFFE:

"Excavating AI" Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset
https://zenodo.org/record/5140557

Notes

15 pages, 4 figures

Files

eeai3.pdf

Files (959.3 kB)

Name Size Download all
md5:a59e1c281accad37c217bae8dc1e2646
959.3 kB Preview Download

Additional details

Related works

Is identical to
arXiv:2009.01215 (arXiv)