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What's documented in AI? Systematic Analysis of 32K AI Model Cards

What's documented in AI? Systematic Analysis of 32K AI Model Cards

7 February 2024
Weixin Liang
Nazneen Rajani
Xinyu Yang
Ezinwanne Ozoani
Eric Wu
Yiqun Chen
D. Smith
James Y. Zou
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Papers citing "What's documented in AI? Systematic Analysis of 32K AI Model Cards"

11 / 11 papers shown
Title
Model Lake: a New Alternative for Machine Learning Models Management and Governance
Model Lake: a New Alternative for Machine Learning Models Management and Governance
Moncef Garouani
Franck Ravat
Nathalie Valles-Parlangeau
37
1
0
27 Mar 2025
Toward an Evaluation Science for Generative AI Systems
Laura Weidinger
Deb Raji
Hanna M. Wallach
Margaret Mitchell
Angelina Wang
Olawale Salaudeen
Rishi Bommasani
Sayash Kapoor
Deep Ganguli
Sanmi Koyejo
EGVM
ELM
62
3
0
07 Mar 2025
Model Lakes
Model Lakes
Koyena Pal
David Bau
Renée J. Miller
63
0
0
24 Feb 2025
Improving governance outcomes through AI documentation: Bridging theory
  and practice
Improving governance outcomes through AI documentation: Bridging theory and practice
Amy A. Winecoff
Miranda Bogen
21
2
0
13 Sep 2024
Acceptable Use Policies for Foundation Models
Acceptable Use Policies for Foundation Models
Kevin Klyman
26
14
0
29 Aug 2024
Supporting Industry Computing Researchers in Assessing, Articulating,
  and Addressing the Potential Negative Societal Impact of Their Work
Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work
Wesley Hanwen Deng
Solon Barocas
Jennifer Wortman Vaughan
32
4
0
02 Aug 2024
A Solution toward Transparent and Practical AI Regulation: Privacy
  Nutrition Labels for Open-source Generative AI-based Applications
A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications
Meixue Si
Shidong Pan
Dianshu Liao
Xiaoyu Sun
Zhenyuan Tao
Wenchang Shi
Zhenchang Xing
35
4
0
22 Jul 2024
ExploreGen: Large Language Models for Envisioning the Uses and Risks of
  AI Technologies
ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies
Viviane Herdel
S. Šćepanović
Edyta Bogucka
Daniele Quercia
18
7
0
17 Jul 2024
Criterion Collapse and Loss Distribution Control
Criterion Collapse and Loss Distribution Control
Matthew J. Holland
16
2
0
15 Feb 2024
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical
  Image Set
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Roxana Daneshjou
Kailas Vodrahalli
R. Novoa
Melissa Jenkins
Weixin Liang
...
Rachna Sahasrabudhe
Johan A. C. Allerup
Utako Okata-Karigane
James Y. Zou
A. Chiou
45
216
0
15 Mar 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
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