arXiv 2009:1-15 (2020)
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| 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.
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| Keywords | training sets ai machine learning affective computing digital ethics informed consent facial expression |
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References found in this work BETA
Core Affect and the Psychological Construction of Emotion.James A. Russell - 2003 - Psychological Review 110 (1):145-172.
Translating Principles Into Practices of Digital Ethics: Five Risks of Being Unethical.Luciano Floridi - 2019 - Philosophy and Technology 32 (2):185-193.
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.
Citations of this work BETA
Detection of Genuine and Posed Facial Expressions of Emotion: Databases and Methods.Shan Jia, Shuo Wang, Chuanbo Hu, Paula J. Webster & Xin Li - 2021 - Frontiers in Psychology 11.
El aprendizaje en sistemas autónomos e inteligentes: visión general y sesgos de fuentes de datos.Pablo Jiménez Schlegl - 2021 - Arbor 197 (802):a627.
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2020-09-19
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119 ( #96,763 of 2,497,795 )
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26 ( #33,254 of 2,497,795 )
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