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This is the first thing I also thought of after seeing this thread!
If you're interested in computer vision x fairness, here are some good introductory papers I like: https://twitter.com/rahulkrdass/status/1275297369920331776
If you're interested in computer vision x fairness, here are some good introductory papers I like: https://twitter.com/rahulkrdass/status/1275297369920331776
Some early work I like:
"No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World" https://research.google/pubs/pub46553/
"ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases" https://arxiv.org/abs/1711.11443
"No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World" https://research.google/pubs/pub46553/
"ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases" https://arxiv.org/abs/1711.11443
Newer papers:
"Does Object Recognition Work for Everyone?" https://arxiv.org/abs/1906.02659
"Predictive Inequity in Object Detection"
https://arxiv.org/abs/1902.11097
"Gender Shades" http://gendershades.org/ (+"Actionable Auditing" https://dl.acm.org/doi/10.1145/3306618.3314244, "Saving Face" https://arxiv.org/abs/2001.00964 )
"Does Object Recognition Work for Everyone?" https://arxiv.org/abs/1906.02659
"Predictive Inequity in Object Detection"
https://arxiv.org/abs/1902.11097
"Gender Shades" http://gendershades.org/ (+"Actionable Auditing" https://dl.acm.org/doi/10.1145/3306618.3314244, "Saving Face" https://arxiv.org/abs/2001.00964 )
Related:
"Machine Learning and Health Care Disparities in Dermatology" https://jamanetwork.com/journals/jamadermatology/article-abstract/2688587
"Garbage In, Garbage Out: Face Recognition on Flawed Data" https://www.law.georgetown.edu/privacy-technology-center/publications/garbage-in-garbage-out-face-recognition-on-flawed-data/#:~:text=Garbage%20In%2C%20Garbage%20Out%3A%20Face%20Recognition%20on%20Flawed%20Data,-Additional%20Navigation&text=In%20a%20report%20released%20by,use%20cases%20from%20the%20NYPD
"Excavating AI: The Politics of Images in Machine Learning Training Sets" https://www.excavating.ai/
"Machine Learning and Health Care Disparities in Dermatology" https://jamanetwork.com/journals/jamadermatology/article-abstract/2688587
"Garbage In, Garbage Out: Face Recognition on Flawed Data" https://www.law.georgetown.edu/privacy-technology-center/publications/garbage-in-garbage-out-face-recognition-on-flawed-data/#:~:text=Garbage%20In%2C%20Garbage%20Out%3A%20Face%20Recognition%20on%20Flawed%20Data,-Additional%20Navigation&text=In%20a%20report%20released%20by,use%20cases%20from%20the%20NYPD
"Excavating AI: The Politics of Images in Machine Learning Training Sets" https://www.excavating.ai/
Other resources:
+ @timnitGebru & @cephaloponderer's
tutorial @CVPR
https://twitter.com/CVPR/status/1274867074364518400
+ please learn about the limitations of fairness as well. "Where fairness fails: data, algorithms, and the limits of anti-discrimination discourse" is a start https://www.tandfonline.com/doi/abs/10.1080/1369118X.2019.1573912?journalCode=rics20
+ @timnitGebru & @cephaloponderer's
tutorial @CVPR https://twitter.com/CVPR/status/1274867074364518400
+ please learn about the limitations of fairness as well. "Where fairness fails: data, algorithms, and the limits of anti-discrimination discourse" is a start https://www.tandfonline.com/doi/abs/10.1080/1369118X.2019.1573912?journalCode=rics20
