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1810.03993
Cited By
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
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Papers citing
"Model Cards for Model Reporting"
50 / 168 papers shown
Title
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&Ro
LLMAG
AI4CE
46
783
0
12 May 2022
Richer Countries and Richer Representations
Kaitlyn Zhou
Kawin Ethayarajh
Dan Jurafsky
30
9
0
10 May 2022
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words
Kaitlyn Zhou
Kawin Ethayarajh
Dallas Card
Dan Jurafsky
21
65
0
10 May 2022
Towards Climate Awareness in NLP Research
Daniel Hershcovich
Nicolas Webersinke
Mathias Kraus
J. Bingler
Markus Leippold
25
32
0
10 May 2022
Fatigue Prediction in Outdoor Running Conditions using Audio Data
Andreas Triantafyllopoulos
Sandra Ottl
Alexander Gebhard
Esther Rituerto-González
Mirko Jaumann
...
P. Schneeweiss
I. Krauss
Maurice Gerczuk
Shahin Amiriparian
Björn W. Schuller
28
9
0
09 May 2022
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Anamaria Crisan
Margaret Drouhard
Jesse Vig
Nazneen Rajani
HAI
17
86
0
05 May 2022
Handling and Presenting Harmful Text in NLP Research
Hannah Rose Kirk
Abeba Birhane
Bertie Vidgen
Leon Derczynski
6
47
0
29 Apr 2022
Explainable AI via Learning to Optimize
Howard Heaton
Samy Wu Fung
19
14
0
29 Apr 2022
Designing for Responsible Trust in AI Systems: A Communication Perspective
Q. V. Liao
S. Sundar
12
99
0
29 Apr 2022
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis
Giorgos Kordopatis-Zilos
Panagiotis Galopoulos
Lazaros Apostolidis
Killian Levacher
Ipek B. Schlicht
Denis Teyssou
I. Kompatsiaris
Symeon Papadopoulos
22
8
0
27 Apr 2022
Modular Domain Adaptation
Junshen K. Chen
Dallas Card
Dan Jurafsky
14
1
0
26 Apr 2022
Impact of Tokenization on Language Models: An Analysis for Turkish
Cagri Toraman
E. Yilmaz
Furkan Şahinuç
Oguzhan Ozcelik
22
74
0
19 Apr 2022
Adjusting for Bias with Procedural Data
Shesh Narayan Gupta
Nicholas Bear Brown
11
5
0
03 Apr 2022
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
Mahima Pushkarna
Andrew Zaldivar
Oddur Kjartansson
AI4TS
11
197
0
03 Apr 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work
Chengbo Zheng
Dakuo Wang
A. Wang
Xiaojuan Ma
17
52
0
21 Mar 2022
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
Kacper Sokol
Meelis Kull
J. Chan
Flora D. Salim
8
6
0
14 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Erick Galinkin
SILM
9
6
0
06 Mar 2022
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems
T. Gilbert
Sarah Dean
Tom Zick
Nathan Lambert
OffRL
8
9
0
11 Feb 2022
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
16
85
0
10 Feb 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient
Max W. Shen
17
18
0
10 Feb 2022
Towards Training Reproducible Deep Learning Models
Boyuan Chen
Mingzhi Wen
Yong Shi
Dayi Lin
Gopi Krishnan Rajbahadur
Zhen Ming
Z. Jiang
SyDa
10
37
0
04 Feb 2022
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
Xin Du
Bénédicte Legastelois
B. Ganesh
A. Rajan
Hana Chockler
Vaishak Belle
Stuart Anderson
S. Ramamoorthy
AAML
11
6
0
27 Jan 2022
Evaluating a Methodology for Increasing AI Transparency: A Case Study
David Piorkowski
John T. Richards
Michael Hind
24
5
0
24 Jan 2022
The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence
Kasia Chmielinski
S. Newman
Matt Taylor
Joshua Joseph
Kemi Thomas
Jessica Yurkofsky
Yue Qiu
17
51
0
10 Jan 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
169
86
0
06 Dec 2021
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
Betty van Aken
S. Herrmann
Alexander Loser
10
11
0
30 Nov 2021
Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing
Abhilash Mishra
Yash Gorana
19
3
0
16 Nov 2021
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
Nadia Nahar
Shurui Zhou
Grace A. Lewis
Christian Kastner
VLM
32
126
0
19 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
19
35
0
07 Oct 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development
Aspen K. Hopkins
Serena Booth
19
45
0
06 Oct 2021
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations
Andreas Triantafyllopoulos
M. Milling
K. Drossos
Björn W. Schuller
21
7
0
04 Oct 2021
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
117
354
0
04 Oct 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
Moninder Singh
Gevorg Ghalachyan
Kush R. Varshney
R. Bryant
8
9
0
29 Sep 2021
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
28
16
0
20 Sep 2021
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
Milagros Miceli
Julian Posada
Tianling Yang
6
60
0
16 Sep 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Stephen R. Pfohl
Haoran Zhang
Yizhe Xu
Agata Foryciarz
Marzyeh Ghassemi
N. Shah
OOD
18
22
0
27 Aug 2021
Underreporting of errors in NLG output, and what to do about it
Emiel van Miltenburg
Miruna Clinciu
Ondrej Dusek
Dimitra Gkatzia
Stephanie Inglis
...
Saad Mahamood
Emma Manning
S. Schoch
Craig Thomson
Luou Wen
15
38
0
02 Aug 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
21
157
0
15 Jul 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Emily Dinan
Gavin Abercrombie
A. S. Bergman
Shannon L. Spruit
Dirk Hovy
Y-Lan Boureau
Verena Rieser
27
105
0
07 Jul 2021
Ethics Sheets for AI Tasks
Saif M. Mohammad
9
31
0
02 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
G. dÉon
Jason dÉon
J. R. Wright
Kevin Leyton-Brown
20
72
0
01 Jul 2021
Using AntiPatterns to avoid MLOps Mistakes
Nikhil Muralidhar
Sathappah Muthiah
P. Butler
Manish Jain
Yu Yu
...
Weipeng Li
David Jones
P. Arunachalam
Hays Mccormick
Naren Ramakrishnan
9
17
0
30 Jun 2021
Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics
John J. Howard
Yevgeniy B. Sirotin
Jerry L. Tipton
A. Vemury
11
27
0
18 Jun 2021
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms
Ana Lucic
Madhulika Srikumar
Umang Bhatt
Alice Xiang
Ankur Taly
Q. V. Liao
Maarten de Rijke
20
5
0
27 Mar 2021
Requirement Engineering Challenges for AI-intense Systems Development
Hans-Martin Heyn
E. Knauss
Amna Pir Muhammad
O. Eriksson
Jennifer Linder
P. Subbiah
S. K. Pradhan
Sagar Tungal
14
33
0
18 Mar 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
246
283
0
02 Feb 2021
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
Soya Park
A. Wang
B. Kawas
Q. V. Liao
David Piorkowski
Marina Danilevsky
46
55
0
29 Jan 2021
Re-imagining Algorithmic Fairness in India and Beyond
Nithya Sambasivan
Erin Arnesen
Ben Hutchinson
Tulsee Doshi
Vinodkumar Prabhakaran
FaML
13
174
0
25 Jan 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh
Steven R. Gomez
K. Nam
Arvind Satyanarayan
34
124
0
24 Jan 2021
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study
David Piorkowski
Soya Park
A. Wang
Dakuo Wang
Michael J. Muller
Felix Portnoy
38
130
0
13 Jan 2021
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