arXiv 2009:1-15 (2020)

Authors
Michael Lyons
Ritsumeikan University
Abstract
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.
Keywords training sets  ai  machine learning  affective computing  digital ethics  informed consent  facial expression
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References found in this work BETA

An Argument for Basic Emotions.Paul Ekman - 1992 - Cognition and Emotion 6 (3-4):169-200.
Facial Expressions.Paul Ekman - 1999 - In Tim Dalgleish & M. J. Powers (eds.), Handbook of Cognition and Emotion. Wiley. pp. 16--301.
The Description of Facial Expressions in Terms of Two Dimensions.Harold Schlosberg - 1952 - Journal of Experimental Psychology 44 (4):229.

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