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Model Cards for Model Reporting

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
ArXivPDFHTML

Papers citing "Model Cards for Model Reporting"

50 / 793 papers shown
Title
Bias Neutralization Framework: Measuring Fairness in Large Language
  Models with Bias Intelligence Quotient (BiQ)
Bias Neutralization Framework: Measuring Fairness in Large Language Models with Bias Intelligence Quotient (BiQ)
M. Narayan
John Pasmore
Elton Sampaio
Vijay Raghavan
Gabriella Waters
14
1
0
28 Apr 2024
From Model Performance to Claim: How a Change of Focus in Machine
  Learning Replicability Can Help Bridge the Responsibility Gap
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
44
0
0
19 Apr 2024
Data Authenticity, Consent, & Provenance for AI are all broken: what
  will it take to fix them?
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
Shayne Longpre
Robert Mahari
Naana Obeng-Marnu
William Brannon
Tobin South
Katy Gero
Sandy Pentland
Jad Kabbara
66
5
0
19 Apr 2024
The Necessity of AI Audit Standards Boards
The Necessity of AI Audit Standards Boards
David Manheim
Sammy Martin
Mark Bailey
Mikhail Samin
Ross Greutzmacher
33
7
0
11 Apr 2024
Analyzing the Impact of Data Selection and Fine-Tuning on Economic and
  Political Biases in LLMs
Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in LLMs
Ahmed A. Agiza
Mohamed Mostagir
Sherief Reda
25
5
0
10 Apr 2024
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter
  and What They Represent
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent
Jennifer Mickel
33
5
0
10 Apr 2024
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
Juhong Min
Shyamal Buch
Arsha Nagrani
Minsu Cho
Cordelia Schmid
LRM
44
20
0
09 Apr 2024
Data Readiness for AI: A 360-Degree Survey
Data Readiness for AI: A 360-Degree Survey
Kaveen Hiniduma
Suren Byna
J. L. Bez
43
6
0
08 Apr 2024
On Extending the Automatic Test Markup Language (ATML) for Machine
  Learning
On Extending the Automatic Test Markup Language (ATML) for Machine Learning
Tyler Cody
Bingtong Li
Peter A. Beling
18
3
0
04 Apr 2024
The Artificial Intelligence Ontology: LLM-assisted construction of AI
  concept hierarchies
The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies
marcin p. joachimiak
M. A. Miller
J. H. Caufield
Ryan Ly
Nomi L. Harris
Andrew Tritt
Christopher J. Mungall
Kristofer E. Bouchard
34
7
0
03 Apr 2024
Responsible Reporting for Frontier AI Development
Responsible Reporting for Frontier AI Development
Noam Kolt
Markus Anderljung
Joslyn Barnhart
Asher Brass
K. Esvelt
Gillian K. Hadfield
Lennart Heim
Mikel Rodriguez
Jonas B. Sandbrink
Thomas Woodside
50
14
0
03 Apr 2024
Decoding the Digital Fine Print: Navigating the potholes in Terms of
  service/ use of GenAI tools against the emerging need for Transparent and
  Trustworthy Tech Futures
Decoding the Digital Fine Print: Navigating the potholes in Terms of service/ use of GenAI tools against the emerging need for Transparent and Trustworthy Tech Futures
Sundaraparipurnan Narayanan
31
0
0
26 Mar 2024
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
Rangel Daroya
Aaron Sun
Subhransu Maji
35
0
0
25 Mar 2024
Reflecting the Male Gaze: Quantifying Female Objectification in 19th and
  20th Century Novels
Reflecting the Male Gaze: Quantifying Female Objectification in 19th and 20th Century Novels
Kexin Luo
Yue Mao
Bei Zhang
Sophie Hao
32
1
0
25 Mar 2024
"We Have No Idea How Models will Behave in Production until Production":
  How Engineers Operationalize Machine Learning
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning
Shreya Shankar
Rolando Garcia
J. M. Hellerstein
Aditya G. Parameswaran
22
10
0
25 Mar 2024
Dated Data: Tracing Knowledge Cutoffs in Large Language Models
Dated Data: Tracing Knowledge Cutoffs in Large Language Models
Jeffrey Cheng
Marc Marone
Orion Weller
Dawn J Lawrie
Daniel Khashabi
Benjamin Van Durme
67
13
0
19 Mar 2024
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for
  Industry Teams
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams
Vanessa Hanschke
Dylan Rees
Merve Alanyali
David Hopkinson
Paul Marshall
50
2
0
15 Mar 2024
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in
  Scrutinizing AI in Court
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Angela Jin
Niloufar Salehi
ELM
36
2
0
13 Mar 2024
Couler: Unified Machine Learning Workflow Optimization in Cloud
Couler: Unified Machine Learning Workflow Optimization in Cloud
Xiaoda Wang
Yuan-ju Tang
Tengda Guo
Bo Sang
Jingji Wu
Jian Sha
Ke Zhang
Jiang Qian
Mingjie Tang
30
0
0
12 Mar 2024
Is this the real life? Is this just fantasy? The Misleading Success of
  Simulating Social Interactions With LLMs
Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
Xuhui Zhou
Zhe Su
Tiwalayo Eisape
Hyunwoo J. Kim
Maarten Sap
34
38
0
08 Mar 2024
The Minimum Information about CLinical Artificial Intelligence Checklist
  for Generative Modeling Research (MI-CLAIM-GEN)
The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)
Brenda Y. Miao
Irene Y. Chen
C. Y. Williams
Jaysón M. Davidson
Augusto Garcia-Agundez
...
Bin Yu
Milena Gianfrancesco
A. Butte
Beau Norgeot
Madhumita Sushil
VLM
42
2
0
05 Mar 2024
Recommendations for Government Development and Use of Advanced Automated
  Systems to Make Decisions about Individuals
Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals
Susan Landau
James X. Dempsey
Ece Kamar
S. Bellovin
18
0
0
04 Mar 2024
Position: Insights from Survey Methodology can Improve Training Data
Position: Insights from Survey Methodology can Improve Training Data
Stephanie Eckman
Barbara Plank
Frauke Kreuter
SyDa
41
3
0
02 Mar 2024
Guidelines for Integrating Value Sensitive Design in Responsible AI
  Toolkits
Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits
Malak Sadek
Marios Constantinides
Daniele Quercia
C. Mougenot
35
15
0
29 Feb 2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support
  Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals
Anna Kawakami
Amanda Coston
Haiyi Zhu
Hoda Heidari
Kenneth Holstein
36
23
0
29 Feb 2024
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity
  Recognition
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition
Kenneth C. Enevoldsen
Fredrik Jørgensen
Morten H Baglini
28
0
0
28 Feb 2024
Foundation Model Transparency Reports
Foundation Model Transparency Reports
Rishi Bommasani
Kevin Klyman
Shayne Longpre
Betty Xiong
Sayash Kapoor
Nestor Maslej
Arvind Narayanan
Percy Liang
37
15
0
26 Feb 2024
Farsight: Fostering Responsible AI Awareness During AI Application
  Prototyping
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Zijie J. Wang
Chinmay Kulkarni
Lauren Wilcox
Michael Terry
Michael A. Madaio
40
43
0
23 Feb 2024
Unintended Impacts of LLM Alignment on Global Representation
Unintended Impacts of LLM Alignment on Global Representation
Michael Joseph Ryan
William B. Held
Diyi Yang
45
41
0
22 Feb 2024
MLXP: A Framework for Conducting Replicable Experiments in Python
MLXP: A Framework for Conducting Replicable Experiments in Python
Michael Arbel
Alexandre Zouaoui
18
0
0
21 Feb 2024
The METRIC-framework for assessing data quality for trustworthy AI in
  medicine: a systematic review
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
Daniel Schwabe
Katinka Becker
Martin Seyferth
Andreas Klass
Tobias Schäffter
34
20
0
21 Feb 2024
SzCORE: A Seizure Community Open-source Research Evaluation framework
  for the validation of EEG-based automated seizure detection algorithms
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
Jonathan Dan
U. Pale
Alireza Amirshahi
William Cappelletti
T. Ingolfsson
...
Adriano Bernini
Luca Benini
S. Beniczky
David Atienza
P. Ryvlin
24
7
0
20 Feb 2024
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of
  Machine-Generated Text
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text
Abe Bohan Hou
Jingyu Zhang
Yichen Wang
Daniel Khashabi
Tianxing He
WaLM
89
15
0
17 Feb 2024
Materiality and Risk in the Age of Pervasive AI Sensors
Materiality and Risk in the Age of Pervasive AI Sensors
Matthew P. Stewart
Emanuel Moss
Pete Warden
Brian Plancher
Susan Kennedy
Mona Sloane
Vijay Janapa Reddi
19
2
0
17 Feb 2024
Proving membership in LLM pretraining data via data watermarks
Proving membership in LLM pretraining data via data watermarks
Johnny Tian-Zheng Wei
Ryan Yixiang Wang
Robin Jia
WaLM
32
22
0
16 Feb 2024
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM
  Workflows
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Ajay Patel
Colin Raffel
Chris Callison-Burch
SyDa
AI4CE
33
25
0
16 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine
  Learning in Official Statistics and Survey Production
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
Patrick Oliver Schenk
Christoph Kern
FaML
31
0
0
14 Feb 2024
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI
  Experts and Clients
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients
Dae Hyun Kim
Hyungyu Shin
Shakhnozakhon Yadgarova
J. Son
Hariharan Subramonyam
Juho Kim
33
3
0
14 Feb 2024
Towards Equitable Agile Research and Development of AI and Robotics
Towards Equitable Agile Research and Development of AI and Robotics
Andrew Hundt
Julia Schuller
Severin Kacianka
17
0
0
13 Feb 2024
InkSight: Offline-to-Online Handwriting Conversion by Learning to Read
  and Write
InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write
B. Mitrevski
Arina Rak
Julian Schnitzler
Chengkun Li
Andrii Maksai
Jesse Berent
C. Musat
DiffM
34
0
0
08 Feb 2024
On the Standardization of Behavioral Use Clauses and Their Adoption for
  Responsible Licensing of AI
On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI
Daniel J. McDuff
Tim Korjakow
Scott Cambo
Jesse Josua Benjamin
Jenny Lee
...
Aaron Gokaslan
Alek Tarkowski
Joseph Lindley
A. F. Cooper
Danish Contractor
MedIm
37
7
0
07 Feb 2024
What's documented in AI? Systematic Analysis of 32K AI Model Cards
What's documented in AI? Systematic Analysis of 32K AI Model Cards
Weixin Liang
Nazneen Rajani
Xinyu Yang
Ezinwanne Ozoani
Eric Wu
Yiqun Chen
D. Smith
James Zou
49
15
0
07 Feb 2024
Verifiable evaluations of machine learning models using zkSNARKs
Verifiable evaluations of machine learning models using zkSNARKs
Tobin South
Alexander Camuto
Shrey Jain
Shayla Nguyen
Robert Mahari
Christian Paquin
Jason Morton
Alex Pentland
MLAU
ALM
39
11
0
05 Feb 2024
Mission Critical -- Satellite Data is a Distinct Modality in Machine
  Learning
Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf
Konstantin Klemmer
Caleb Robinson
Hannah Kerner
29
36
0
02 Feb 2024
Dropout-Based Rashomon Set Exploration for Efficient Predictive
  Multiplicity Estimation
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
Hsiang Hsu
Guihong Li
Shaohan Hu
Chun-Fu Chen
Chen
31
5
0
01 Feb 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps
  Towards Effectiveness Evaluations
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations
G. Berman
Nitesh Goyal
Michael A. Madaio
ELM
45
20
0
30 Jan 2024
Understanding Disparities in Post Hoc Machine Learning Explanation
Understanding Disparities in Post Hoc Machine Learning Explanation
Vishwali Mhasawade
Salman Rahman
Zoe Haskell-Craig
R. Chunara
32
4
0
25 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
34
78
0
25 Jan 2024
Navigating Dataset Documentations in AI: A Large-Scale Analysis of
  Dataset Cards on Hugging Face
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face
Xinyu Yang
Weixin Liang
James Zou
CVBM
42
17
0
24 Jan 2024
Deep Learning Model Reuse in the HuggingFace Community: Challenges,
  Benefit and Trends
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends
Mina Taraghi
Gianolli Dorcelus
A. Foundjem
Florian Tambon
Foutse Khomh
18
14
0
24 Jan 2024
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