Countering Racial Bias in Computer Graphics Research

Author:

Kim Theodore1,Rushmeier Holly1,Dorsey Julie1,Nowrouzezahrai Derek2,Syed Raqi3,Jarosz Wojciech4,Darke A.M.5

Affiliation:

1. Yale University, United States of America

2. McGill University, Canada

3. Victoria University of Wellington, New Zealand

4. Dartmouth College, United States of America

5. University of California Santa Cruz, United States of America

Publisher

ACM

Reference14 articles.

1. E. Bender , T. Gebru , A. McMillan-Major , and M. Mitchell . 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? . In Proc. of FAccT. E. Bender, T. Gebru, A. McMillan-Major, and M. Mitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? . In Proc. of FAccT.

2. R. Benjamin . 2019. Race After Technology . Polity Press . R. Benjamin. 2019. Race After Technology. Polity Press.

3. Angélica Dass’ humanae, a spectrum of skin tones

4. R. De La Mettrie D. Saint-Léger G. Loussouarn A. Garcel C. Porter and A. Langaney. 2007. Shape variability and classification of human hair: a worldwide approach. Human biology 79 3 (2007) 265–281. R. De La Mettrie D. Saint-Léger G. Loussouarn A. Garcel C. Porter and A. Langaney. 2007. Shape variability and classification of human hair: a worldwide approach. Human biology 79 3 (2007) 265–281.

5. A layered, heterogeneous reflectance model for acquiring and rendering human skin

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