TY  - JOUR
TI  - Excavating AI (the politics of image training data)
AU  - Crawford, K.
AU  - Paglen, T.
PY  - 2019
DA  - 2019///
JO  - Excavating AI (essay; AI and Society, 2021)
AB  - Crawford and Paglen's "Excavating AI" examines the ImageNet large-scale image dataset, documenting the demeaning, biased, and harmful categories used to label photographs of people. First published as an essay in 2019, with a peer-reviewed version appearing in the journal AI and Society in 2021, it established the politics of image training data as a central problem in AI ethics for anyone working with visual media. The essay is widely assigned in AI-ethics and critical media courses and is the founding text for discussing how training datasets reproduce social bias.
KW  - training-data
KW  - ip-and-copyright
KW  - ai-literacy
UR  - https://excavating.ai/
LA  - en
ER  -