Machine learning (ML) methods are proliferating in scientific research.
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Private and public sector structures and norms refine how emerging techn...
Deployed AI systems often do not work. They can be constructed haphazard...
Much attention has focused on algorithmic audits and impact assessments ...
There is a tendency across different subfields in AI to valorize a small...
We survey over 100 face datasets constructed between 1976 to 2019 of 145...
Datasets have played a foundational role in the advancement of machine
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Rising concern for the societal implications of artificial intelligence
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Although essential to revealing biased performance, well intentioned att...
We present the "Annotation and Benchmarking on Understanding and Transpa...
Past literature has been effective in demonstrating ideological gaps in
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Trained machine learning models are increasingly used to perform high-im...