Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Daniella Raz"'
Autor:
Daniella Raz, Michael Katell, Vivian Guetler, Dharma Dailey, Peter M. Krafft, Bernease Herman, Meg Young, Corinne Bintz, Aaron Tam
Publikováno v:
AIES
This paper reports on the making of an interactive demo to illustrate algorithmic bias in facial recognition. Facial recognition technology has been demonstrated to be more likely to misidentify women and minoritized people. This risk, among others,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10290a5b7ca873a93e21bd3d97d550ae
https://doi.org/10.1145/3461702.3462627
https://doi.org/10.1145/3461702.3462627
Autor:
Meg Young, Peter M. Krafft, Vivian Guetler, Bernease Herman, Corinne Bintz, Aaron Tam, Shankar Narayan, Bissan Barghouti, Dharma Dailey, Franziska Putz, Pa Ousman Jobe, Jennifer Lee, Micah Epstein, Brian Robick, Michael Katell, Daniella Raz
Publikováno v:
FAccT
Motivated by the extensive documented disparate harms of artificial intelligence (AI), many recent practitioner-facing reflective tools have been created to promote responsible AI development. However, the use of such tools internally by technology d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d870daac1fa7a0b60b33f8ae86afd913
https://doi.org/10.1145/3442188.3445938
https://doi.org/10.1145/3442188.3445938
Autor:
Vivian Guetler, Meg Young, Corinne Bintz, Aaron Tam, Dharma Dailey, Michael Katell, Peter M. Krafft, Bernease Herman, Daniella Raz
Publikováno v:
FAT*
Research to date aimed at the fairness, accountability, and transparency of algorithmic systems has largely focused on topics such as identifying failures of current systems and on technical interventions intended to reduce bias in computational proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdf5bc98bc071e63c8780527df2be05f
https://doi.org/10.1145/3351095.3372874
https://doi.org/10.1145/3351095.3372874