298 citations · 565 across the 4 of their papers we have counts for
5 papers
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
Morgan Klaus Scheuerman, Emily Denton, Alex Hanna
Data is a crucial component of machine learning. The field is reliant on data to train, validate, and test models. With increased technical capabilities, machine learning research…
Against Scale: Provocations and Resistances to Scale Thinking
Alex Hanna, Tina M. Park
At the heart of what drives the bulk of innovation and activity in Silicon Valley and elsewhere is scalability. This unwavering commitment to scalability -- to identify strategies…
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna +5
Rising concern for the societal implications of artificial intelligence systems has inspired demands for greater transparency and accountability. However the datasets which empower…
Diversity and Inclusion Metrics in Subset Selection
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi +5
The ethical concept of fairness has recently been applied in machine learning (ML) settings to describe a wide range of constraints and objectives. When considering the relevance o…
Towards a Critical Race Methodology in Algorithmic Fairness
Alex Hanna, Emily Denton, Andrew Smart +1
We examine the way race and racial categories are adopted in algorithmic fairness frameworks. Current methodologies fail to adequately account for the socially constructed nature o…