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One Label, One Billion Faces - Usage and Consistency of Racial Categories in Computer Vision

One Label, One Billion Faces - Usage and Consistency of Racial Categories in Computer Vision

ACM FAccT Conference via YouTube Direct link

Conclusions

13 of 13
Previous

13 of 13

Conclusions

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One Label, One Billion Faces - Usage and Consistency of Racial Categories in Computer Vision

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  1. 1 Intro
  2. 2 Face Recognition
  3. 3 Synthesis
  4. 4 Group Fairness
  5. 5 Demographic Parity
  6. 6 Fairness is based on groups.
  7. 7 Racial Categories: Badly Defined
  8. 8 Moment of Identification
  9. 9 Scenario 2
  10. 10 Classifier Ensemble
  11. 11 Cross-Dataset Generalization
  12. 12 Stereotypes
  13. 13 Conclusions

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