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Model Cards for Model Reporting
v1v2 (latest)

Model Cards for Model Reporting

5 October 2018
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
ArXiv (abs)PDFHTML

Papers citing "Model Cards for Model Reporting"

15 / 415 papers shown
Title
How we do things with words: Analyzing text as social and cultural data
How we do things with words: Analyzing text as social and cultural data
D. Nguyen
Maria Liakata
Simon DeDeo
Jacob Eisenstein
David M. Mimno
Rebekah Tromble
J. Winters
62
88
0
02 Jul 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun
Andrew Gaut
Shirlyn Tang
Yuxin Huang
Mai Elsherief
Jieyu Zhao
Diba Mirza
E. Belding-Royer
Kai-Wei Chang
William Yang Wang
AI4CE
118
563
0
21 Jun 2019
Losing Confidence in Quality: Unspoken Evolution of Computer Vision
  Services
Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services
Alex Cummaudo
Rajesh Vasa
J. Grundy
Mohamed Abdelrazek
A. Cain
78
19
0
18 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Emily L. Denton
B. Hutchinson
Margaret Mitchell
Timnit Gebru
Andrew Zaldivar
CVBM
88
129
0
14 Jun 2019
Understanding artificial intelligence ethics and safety
Understanding artificial intelligence ethics and safety
David Leslie
FaMLAI4TS
74
363
0
11 Jun 2019
From What to How: An Initial Review of Publicly Available AI Ethics
  Tools, Methods and Research to Translate Principles into Practices
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
Jessica Morley
Luciano Floridi
Libby Kinsey
Anat Elhalal
75
57
0
15 May 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for
  Clinical End Use
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
S. Tonekaboni
Shalmali Joshi
M. Mccradden
Anna Goldenberg
91
400
0
13 May 2019
Auditing ImageNet: Towards a Model-driven Framework for Annotating
  Demographic Attributes of Large-Scale Image Datasets
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets
Chris Dulhanty
A. Wong
74
42
0
03 May 2019
The Scientific Method in the Science of Machine Learning
The Scientific Method in the Science of Machine Learning
Jessica Zosa Forde
Michela Paganini
70
37
0
24 Apr 2019
Tutorial: Safe and Reliable Machine Learning
Tutorial: Safe and Reliable Machine Learning
Suchi Saria
Adarsh Subbaswamy
FaML
55
84
0
15 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
157
1,164
0
10 Apr 2019
A Conceptual Architecture for Contractual Data Sharing in a
  Decentralised Environment
A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment
I. Barclay
Alun D. Preece
Ian J. Taylor
D. Verma
18
7
0
05 Apr 2019
Towards Standardization of Data Licenses: The Montreal Data License
Towards Standardization of Data Licenses: The Montreal Data License
Misha Benjamin
P. Gagnon
Negar Rostamzadeh
C. Pal
Yoshua Bengio
Alex Shee
45
38
0
21 Mar 2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text
  Classification
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan
Lucas Dixon
Jeffrey Scott Sorensen
Nithum Thain
Lucy Vasserman
94
493
0
11 Mar 2019
Datasheets for Datasets
Datasheets for Datasets
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
306
2,207
0
23 Mar 2018
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