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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"
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Title
Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing
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Open and reusable deep learning for pathology with WSInfer and QuPath
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Alan O'Callaghan
Fiona Inglis
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Rajarsi R. Gupta
Erich Bremer
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Joel H. Saltz
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TaleStream: Supporting Story Ideation with Trope Knowledge
Jean-Peic Chou
Alexa F. Siu
Nedim Lipka
Ryan A. Rossi
Franck Dernoncourt
Maneesh Agrawala
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07 Sep 2023
Bias and Fairness in Large Language Models: A Survey
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Ryan A. Rossi
Joe Barrow
Md Mehrab Tanjim
Sungchul Kim
Franck Dernoncourt
Tong Yu
Ruiyi Zhang
Nesreen Ahmed
AILaw
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FACET: Fairness in Computer Vision Evaluation Benchmark
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Chloe Rolland
Nikhila Ravi
Quentin Duval
Aaron B. Adcock
Cheng-Yang Fu
Melissa Hall
Candace Ross
VLM
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29
36
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Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models
Neha Sengupta
Sunil Kumar Sahu
Bokang Jia
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Haonan Li
...
A. Jackson
Hector Xuguang Ren
Preslav Nakov
Timothy Baldwin
Eric P. Xing
LRM
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40
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International Governance of Civilian AI: A Jurisdictional Certification Approach
Robert F. Trager
Benjamin Harack
Anka Reuel
A. Carnegie
Lennart Heim
...
R. Lall
Owen Larter
Seán Ó hÉigeartaigh
Simon Staffell
José Jaime Villalobos
26
20
0
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Code Llama: Open Foundation Models for Code
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Jonas Gehring
Fabian Gloeckle
Sten Sootla
Itai Gat
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Hugo Touvron
Louis Martin
Nicolas Usunier
Thomas Scialom
Gabriel Synnaeve
ELM
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1,906
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Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
Oana Inel
Tim Draws
Lora Aroyo
46
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Artificial Intelligence and Aesthetic Judgment
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Ari Holtzman
Andrew Gelman
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A Modular and Adaptive System for Business Email Compromise Detection
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F. Srajer
Radek Starosta
Tomás Sixta
Marc Dupont
...
Jirí Mensík
Florian Becker
Jakub Boros
Tomás Pop
Pavel Novák
8
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0
21 Aug 2023
REFORMS: Reporting Standards for Machine Learning Based Science
Sayash Kapoor
Emily F. Cantrell
Kenny Peng
Thanh Hien Pham
C. Bail
...
Matthew J. Salganik
Marta Serra-Garcia
Brandon M Stewart
Gilles Vandewiele
Arvind Narayanan
10
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Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
Houjiang Liu
Anubrata Das
Alexander Boltz
Didi Zhou
Daisy Pinaroc
Matthew Lease
Min Kyung Lee
HAI
25
16
0
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Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI
H. D. Zając
Natalia-Rozalia Avlona
T. O. Andersen
F. Kensing
Irina Shklovski
27
17
0
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Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking
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Kathleen Cachel
Mallak Alkhathlan
Elke A. Rundensteiner
Lane Harrison
18
3
0
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DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity
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Candace Ross
Adina Williams
Nicolas Carion
M. Drozdzal
Adriana Romero Soriano
EGVM
27
5
0
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FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir
Aasa Feragen
Abdul Joseph Fofanah
Alejandro F Frangi
Alena Buyx
...
Yi Zeng
Yunusa G Mohammed
Yves Saint James Aquino
Zohaib Salahuddin
M. P. Starmans
AI4TS
37
38
0
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CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models
R. Maier
A. Schlattl
Thomas Guess
J. Mottok
AI4CE
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The Ethics of AI Value Chains
Blair Attard-Frost
D. Widder
40
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Generative models for wearables data
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L. Foschini
MedIm
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No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
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Daniel Coelho De Castro
Fabio De Sousa Ribeiro
Ozan Oktay
Melissa McCradden
Ben Glocker
FaML
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49
9
0
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Corentin Dancette
Alexandre Ramé
Matthieu Cord
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61
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FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
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Emma Kallina
D. Ashok
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Valerie Chen
Umang Bhatt
38
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25
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David Shekman
51
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Towards an AI Accountability Policy
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Nicholas Perello
Yair Zick
Nicholas Perello
Yair Zick
30
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0
25 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Danilo Brajovic
Niclas Renner
Vincent Philipp Goebels
Philipp Wagner
Benjamin Frész
M. Biller
Mara Klaeb
Janika Kutz
Jens Neuhuettler
Marco F. Huber
19
9
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Thong Hoang
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Zhenchang Xing
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Qinghua Lu
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Negar Rostamzadeh
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Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
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117
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Navigating Fairness Measures and Trade-Offs
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Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
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Yanchao Sun
Ruijie Zheng
Sai H. Vemprala
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Shuhang Chen
Ratnesh Madaan
Zhongjie Ba
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Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
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Leveraging Contextual Counterfactuals Toward Belief Calibration
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Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
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Predicting small molecules solubilities on endpoint devices using deep ensemble neural networks
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Andrew D. White
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Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators
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Frontier AI Regulation: Managing Emerging Risks to Public Safety
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Divya Siddarth
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Kevin J. Wolf
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Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
Anthony G. Francis
Claudia Pérez-DÁrpino
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Fei Xia
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Peng Xu
Naoki Yokoyama
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Roberto Martin-Martin Logical Robotics
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Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work
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Sophie F. Jentzsch
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C. Bruder
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Gender Bias in BERT -- Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
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Use case cards: a use case reporting framework inspired by the European AI Act
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19
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Broadening the perspective for sustainable AI: Comprehensive sustainability criteria and indicators for AI systems
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A. Meyer
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U. Petschow
Anne Mollen
10
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H. Brown
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The Importance of Human-Labeled Data in the Era of LLMs
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Scaling Open-Vocabulary Object Detection
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A. Gritsenko
N. Houlsby
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Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing
Matthew P. Stewart
Pete Warden
Yasmine Omri
Shvetank Prakash
Joao Santos
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Nat Jeffries
Sachin Katti
Brian Plancher
Vijay Janapa Reddi
30
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Anticipatory Music Transformer
John Thickstun
David Leo Wright Hall
Chris Donahue
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Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
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Afaf Taik
Nicolas Le Roux
G. Farnadi
29
1
0
11 Jun 2023
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