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Model Cards for Model Reporting

5 October 2018

Inioluwa Deborah Raji

Timnit Gebru

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Papers citing "Model Cards for Model Reporting"

50 / 416 papers shown

Title
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 60 0 0 25 Feb 2022
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness E. A. Watkins Michael McKenna Jiahao Chen 74 37 0 19 Feb 2022
Symphony: Composing Interactive Interfaces for Machine Learning Alex Bäuerle Ángel Alexander Cabrera Fred Hohman Megan Maher Welsh David Koski Xavier Suau Titus Barik Dominik Moritz 67 56 0 18 Feb 2022
Fairness Indicators for Systematic Assessments of Visual Feature Extractors Priya Goyal Adriana Romero Soriano C. Hazirbas Levent Sagun Nicolas Usunier EGVM 72 31 0 15 Feb 2022
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text Sebastian Gehrmann Elizabeth Clark Thibault Sellam ELM AI4CE 157 193 0 14 Feb 2022
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems T. Gilbert Sarah Dean Tom Zick Nathan Lambert OffRL 51 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 89 90 0 10 Feb 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 69 18 0 10 Feb 2022
Investigating Explainability of Generative AI for Code through Scenario-based Design Jiao Sun Q. V. Liao Michael J. Muller Mayank Agarwal Stephanie Houde Kartik Talamadupula Justin D. Weisz 80 163 0 10 Feb 2022
Towards a consistent interpretation of AIOps models Yingzhe Lyu Gopi Krishnan Rajbahadur Dayi Lin Boyuan Chen Zhen Ming Z. Jiang AI4CE 79 22 0 04 Feb 2022
Towards Training Reproducible Deep Learning Models Boyuan Chen Mingzhi Wen Yong Shi Dayi Lin Gopi Krishnan Rajbahadur Zhen Ming Z. Jiang SyDa 64 38 0 04 Feb 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 164 30 0 31 Jan 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 64 6 0 27 Jan 2022
Natural Language Descriptions of Deep Visual Features Evan Hernandez Sarah Schwettmann David Bau Teona Bagashvili Antonio Torralba Jacob Andreas MILM 311 125 0 26 Jan 2022
Evaluating a Methodology for Increasing AI Transparency: A Case Study David Piorkowski John T. Richards Michael Hind 72 5 0 24 Jan 2022
Survey on Privacy-Preserving Techniques for Data Publishing Tânia Carvalho Nuno Moniz Pedro Faria Luís Antunes 39 9 0 20 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 76 53 0 10 Jan 2022
A Survey on Gender Bias in Natural Language Processing Karolina Stañczak Isabelle Augenstein 88 117 0 28 Dec 2021
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 123 188 0 21 Dec 2021
AI Ethics Principles in Practice: Perspectives of Designers and Developers Conrad Sanderson David M. Douglas Qinghua Lu Emma Schleiger Jon Whittle J. Lacey G. Newnham S. Hajkowicz Cathy J. Robinson David Hansen FaML 135 48 0 14 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 61 37 0 10 Dec 2021
Thinking Beyond Distributions in Testing Machine Learned Models Negar Rostamzadeh B. Hutchinson Christina Greer Vinodkumar Prabhakaran TTA 96 6 0 06 Dec 2021
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 235 88 0 06 Dec 2021
CO-STAR: Conceptualisation of Stereotypes for Analysis and Reasoning Teyun Kwon Anandha Gopalan 79 2 0 01 Dec 2021
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models Betty van Aken S. Herrmann Alexander Loser 53 12 0 30 Nov 2021
AI and the Everything in the Whole Wide World Benchmark Inioluwa Deborah Raji Emily M. Bender Amandalynne Paullada Emily L. Denton A. Hanna 98 314 0 26 Nov 2021
Two-Face: Adversarial Audit of Commercial Face Recognition Systems S. Jaiswal K. Duggirala A. Dash Animesh Mukherjee MLAU AAML 81 11 0 17 Nov 2021
Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing Abhilash Mishra Yash Gorana 51 3 0 16 Nov 2021
Visual Intelligence through Human Interaction Ranjay Krishna Mitchell L. Gordon Fei-Fei Li Michael S. Bernstein 60 8 0 12 Nov 2021
Sustainable AI: Environmental Implications, Challenges and Opportunities Carole-Jean Wu Ramya Raghavendra Udit Gupta Bilge Acun Newsha Ardalani ... Maximilian Balandat Joe Spisak R. Jain Michael G. Rabbat K. Hazelwood 148 415 0 30 Oct 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences Q. V. Liao R. Varshney 113 234 0 20 Oct 2021
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 123 132 0 19 Oct 2021
Can Machines Learn Morality? The Delphi Experiment Liwei Jiang Jena D. Hwang Chandra Bhagavatula Ronan Le Bras Jenny T Liang ... Yulia Tsvetkov Oren Etzioni Maarten Sap Regina A. Rini Yejin Choi FaML 211 122 0 14 Oct 2021
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits Julia Kreutzer David Vilar Artem Sokolov 99 15 0 13 Oct 2021
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks Cody Blakeney G. Atkinson Nathaniel Huish Yan Yan V. Metsis Ziliang Zong 47 3 0 08 Oct 2021
Distinguishing rule- and exemplar-based generalization in learning systems Ishita Dasgupta Erin Grant Thomas Griffiths 88 16 0 08 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 75 36 0 07 Oct 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 103 46 0 06 Oct 2021
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations Andreas Triantafyllopoulos M. Milling Konstantinos Drossos Björn W. Schuller 60 7 0 04 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 213 382 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 57 9 0 29 Sep 2021
Auditing AI models for Verified Deployment under Semantic Specifications Homanga Bharadhwaj De-An Huang Chaowei Xiao Anima Anandkumar Animesh Garg MLAU 97 6 0 25 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis Saif M. Mohammad 67 72 0 17 Sep 2021
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? Milagros Miceli Julian Posada Tianling Yang 54 64 0 16 Sep 2021
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing Valerio Basile F. Cabitza Andrea Campagner Michael Fell 116 161 0 09 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 80 42 0 07 Sep 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 64 24 0 27 Aug 2021
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized B. Larsen 39 4 0 18 Aug 2021
Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards Angelina McMillan-Major Salomey Osei Juan Diego Rodriguez Pawan Sasanka Ammanamanchi Sebastian Gehrmann Yacine Jernite 86 49 0 16 Aug 2021