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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"

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Title
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 125 432 0 15 Feb 2021
Confounding Tradeoffs for Neural Network Quantization Sahaj Garg Anirudh Jain Joe Lou Mitchell Nahmias MQ 76 19 0 12 Feb 2021
A Decentralized Approach towards Responsible AI in Social Ecosystems Wenjing Chu 92 9 0 12 Feb 2021
Multisource AI Scorecard Table for System Evaluation Erik P. Blasch James Sung Tao Nguyen 36 33 0 08 Feb 2021
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks Mckane Andrus Sarah Dean T. Gilbert Nathan Lambert Tom Zick 46 8 0 04 Feb 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 319 285 0 02 Feb 2021
About Face: A Survey of Facial Recognition Evaluation Inioluwa Deborah Raji G. Fried CVBM 89 54 0 01 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 127 55 0 29 Jan 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP Zeerak Talat Smarika Lulz Joachim Bingel Isabelle Augenstein 167 51 0 28 Jan 2021
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems Jennifer Cobbe M. S. Lee Jatinder Singh 61 76 0 26 Jan 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 109 186 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 96 134 0 24 Jan 2021
The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers Daniel Buschek Martin Zurn Malin Eiband 173 106 0 22 Jan 2021
Deep Cox Mixtures for Survival Regression Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 168 62 0 16 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 89 134 0 13 Jan 2021
Robustness Gym: Unifying the NLP Evaluation Landscape Karan Goel Nazneen Rajani Jesse Vig Samson Tan Jason M. Wu Stephan Zheng Caiming Xiong Joey Tianyi Zhou Christopher Ré AAML OffRL OOD 196 140 0 13 Jan 2021
How Much Automation Does a Data Scientist Want? Dakuo Wang Q. V. Liao Yunfeng Zhang Udayan Khurana Horst Samulowitz Soya Park Michael J. Muller Lisa Amini AI4CE 73 56 0 07 Jan 2021
Modeling Disclosive Transparency in NLP Application Descriptions Michael Stephen Saxon Sharon Levy Xinyi Wang Alon Albalak Wenjie Wang 60 7 0 02 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 157 153 0 01 Jan 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 296 80 0 30 Dec 2020
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective S. Kiritchenko I. Nejadgholi Kathleen C. Fraser AILaw 113 88 0 22 Dec 2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 145 18 0 17 Dec 2020
Data and its (dis)contents: A survey of dataset development and use in machine learning research Amandalynne Paullada Inioluwa Deborah Raji Emily M. Bender Emily L. Denton A. Hanna 131 530 0 09 Dec 2020
A Note on Data Biases in Generative Models Patrick Esser Robin Rombach Bjorn Ommer 52 19 0 04 Dec 2020
Non-portability of Algorithmic Fairness in India Nithya Sambasivan Erin Arnesen B. Hutchinson Vinodkumar Prabhakaran FaML 113 18 0 03 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 71 409 0 18 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 129 252 0 15 Nov 2020
DeepMind Lab2D C. Beattie Thomas Koppe Edgar A. Duénez-Guzmán Joel Z. Leibo VLM 86 18 0 13 Nov 2020
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification Robert Adragna Elliot Creager David Madras R. Zemel OOD FaML 80 43 0 12 Nov 2020
(Un)fairness in Post-operative Complication Prediction Models Sandhya Tripathi Bradley A. Fritz M. Abdelhack M. Avidan Yixin Chen C. King 31 4 0 03 Nov 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 102 162 0 28 Oct 2020
Towards Ethics by Design in Online Abusive Content Detection S. Kiritchenko I. Nejadgholi 73 13 0 28 Oct 2020
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation Hong Shen Wesley Hanwen Deng Aditi Chattopadhyay Zhiwei Steven Wu Xu Wang Haiyi Zhu 94 64 0 22 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 326 449 0 15 Oct 2020
Large-Scale Methods for Distributionally Robust Optimization Daniel Levy Y. Carmon John C. Duchi Aaron Sidford 87 217 0 12 Oct 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards Kawin Ethayarajh Dan Jurafsky ELM 90 52 0 29 Sep 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models Samuel Gehman Suchin Gururangan Maarten Sap Yejin Choi Noah A. Smith 202 1,222 0 24 Sep 2020
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 115 393 0 22 Sep 2020
Prune Responsibly Michela Paganini VLM 73 21 0 10 Sep 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 61 57 0 14 Aug 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 116 113 0 20 Jul 2020
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit Emma Rocheteau Pietro Lio Stephanie L. Hyland OOD 51 60 0 18 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 72 18 0 17 Jul 2020
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI M. K. Ahuja M. Belaid Pierre Bernabé Mathieu Collet A. Gotlieb Chhagan Lal D. Marijan S. Sen Aizaz Sharif Helge Spieker 54 10 0 14 Jul 2020
Towards an Interface Description Template for AI-enabled Systems Niloofar Shadab A. Salado 25 2 0 13 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 103 126 0 10 Jul 2020
Machine Learning Explainability for External Stakeholders Umang Bhatt Mckane Andrus Adrian Weller Alice Xiang FaML SILM 63 58 0 10 Jul 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 122 5 0 10 Jul 2020
Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment Abhishek Gupta Erick Galinkin 27 3 0 09 Jul 2020
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence Shakir Mohamed Marie-Therese Png William S. Isaac 108 414 0 08 Jul 2020