708 citations · 1.3k across the 19 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CY2021★ 35 cited
Understanding the Representation and Representativeness of Age in AI Data Sets
Joon Sung Park, Michael S. Bernstein, Robin N. Brewer +2
A diverse representation of different demographic groups in AI training data sets is important in ensuring that the models will work for a large range of users. To this end, recent…
cs.CY2021★ 2 cited
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
Solon Barocas, Anhong Guo, Ece Kamar +5
Disaggregated evaluations of AI systems, in which system performance is assessed and reported separately for different groups of people, are conceptually simple. However, their des…