Project_Veritas_Google_document_dump/Machine Learning Fairness • Avalon Library

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Home / Project_Veritas_Google_document_dump / Machine Learning Fairness

File Name

Size

Date

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AI-with-the-best fairness presentation.pdf

6.79MB

2017-08-18 06:10:58

Allegations of Algorithmic Bias Investigation and Meta-Analysis.pdf

81.76KB

2017-08-18 05:30:28

Comms doc Fairness in machine learning.pdf

195.38KB

2017-08-18 05:40:12

Deck for participants- 2016-08 Serving Under-Represented Users in Recommenders with Focused Learning.pdf

1.41MB

2017-08-18 06:05:16

Definition of Algorithmic Unfairness - PRIVILEGED.pdf

96.33KB

2017-08-18 05:43:22

Exploring Public Perception of Algorithmic Unfairness.pdf

2.41MB

2017-08-18 05:32:04

IMG_0087.JPG

1.77MB

2017-08-18 04:24:36

IMG_0088.JPG

1.73MB

2017-08-18 04:26:48

IMG_0089.JPG

2.16MB

2017-08-18 04:43:32

IMG_0090.JPG

1.84MB

2017-08-18 04:53:28

IMG_0091.JPG

1.86MB

2017-08-18 04:55:54

IMG_0092.JPG

1.78MB

2017-08-18 05:09:46

IMG_0093.JPG

1.89MB

2017-08-18 05:12:22

IMG_0094.JPG

1.73MB

2017-08-18 05:12:42

IMG_0095.JPG

1.80MB

2017-08-18 05:14:36

IMG_0096.JPG

1.63MB

2017-08-18 05:15:08

IMG_0097.JPG

1.64MB

2017-08-18 05:16:02

IMG_0098.JPG

1.67MB

2017-08-18 05:21:04

IMG_0100.JPG

1.76MB

2017-08-18 05:22:58

ML Fairness-resources.pdf

149.76KB

2017-08-18 05:29:08

ML Fairness.pdf

167.95KB

2017-08-18 05:09:22

Machine Learning Fairness.zip

66.82MB

2019-08-13 20:44:36

Metrics and Measurements for Algorithmic Fairness in Machine Learning - Privileged.pdf

5.92MB

2017-08-11 17:22:32

Privileged Confidential - ML Fairness Communication Best Practices.pdf

131.11KB

2017-08-18 05:36:46

Seeds of Change- Root causes of algorithmic unfairness, and a path forward.pdf

4.26MB

2017-08-18 06:09:12

go-ml-fairness.pdf

287.25KB

2017-08-18 05:08:58

jen_gennai_01.jpg

39.32KB

2019-08-13 20:38:58

jen_gennai_02.jpg

39.19KB

2019-08-13 20:39:52

ml_fairness_01.jpg

109.61KB

2019-08-13 20:36:40

ml_fairness_02.jpg

118.71KB

2019-08-13 20:36:44

ml_fairness_03.jpg

133.11KB

2019-08-13 20:36:52

ml_fairness_04.jpg

150.47KB

2019-08-13 20:36:58

ml_fairness_05.jpg

89.05KB

2019-08-13 20:37:04

ml_fairness_06.jpg

103.84KB

2019-08-13 20:37:10

ml_fairness_07.jpg

106.72KB

2019-08-13 20:37:16

ml_fairness_08.jpg

144.62KB

2019-08-13 20:37:24

ml_fairness_09.jpg

105.84KB

2019-08-13 20:37:32

ml_fairness_10.jpg

147.78KB

2019-08-13 20:37:38

ml_fairness_11.jpg

130.46KB

2019-08-13 20:37:46

ml_fairness_12.jpg

135.48KB

2019-08-13 20:37:54

ml_fairness_13.jpg

111.13KB

2019-08-13 20:38:00

ml_fairness_14.jpg

129.53KB

2019-08-13 20:38:10

ml_fairness_15.jpg

112.12KB

2019-08-13 20:38:16

ml_fairness_16.jpg

140.35KB

2019-08-13 20:38:22

mmitchell_01.jpg

46.63KB

2019-08-13 20:35:38

mmitchell_02.jpg

43.75KB

2019-08-13 20:35:42

profair_01.jpg

76.86KB

2019-08-13 20:40:08

profair_02.jpg

70.78KB

2019-08-13 20:40:16

profair_03.jpg

63.39KB

2019-08-13 20:40:20

profair_04.jpg

110.23KB

2019-08-13 20:40:26

profair_05.jpg

57.14KB

2019-08-13 20:40:32

profair_06.jpg

67.97KB

2019-08-13 20:40:38

profair_07.jpg

83.38KB

2019-08-13 20:40:42

profair_08.jpg

147.61KB

2019-08-13 20:40:48

profair_09.jpg

145.22KB

2019-08-13 20:40:54

profair_10.jpg

74.37KB

2019-08-13 20:41:00

profair_11.jpg

135.78KB

2019-08-13 20:41:08

subgroups_01.jpg

142.43KB

2019-08-13 20:33:30

subgroups_02.jpg

110.82KB

2019-08-13 20:33:34

subgroups_03.jpg

92.71KB

2019-08-13 20:34:58

subgroups_04.jpg

106.81KB

2019-08-13 20:35:02

subgroups_05.jpg

179.46KB

2019-08-13 20:35:10

subgroups_06.jpg

87.89KB

2019-08-13 20:35:18

subgroups_07.jpg

73.20KB

2019-08-13 20:35:26