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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Towards A Process Model for Co-Creating AI Experiences Hariharan Subramonyam C. Seifert Eytan Adar 6 59 0 15 Apr 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 28 5 0 27 Mar 2021
Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems Grace A. Lewis S. Bellomo Ipek Ozkaya 14 35 0 25 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 30 33 0 18 Mar 2021
The Human Evaluation Datasheet 1.0: A Template for Recording Details of Human Evaluation Experiments in NLP Anastasia Shimorina Anya Belz 22 34 0 17 Mar 2021
Preregistering NLP Research Emiel van Miltenburg Chris van der Lee E. Krahmer AI4CE 21 22 0 11 Mar 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems Chloé Bakalar Renata Barreto Stevie Bergman Miranda Bogen Bobbie Chern ... J. Simons Jonathan Tannen Edmund Tong Kate Vredenburgh Jiejing Zhao FaML 19 26 0 10 Mar 2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs Solon Barocas Anhong Guo Ece Kamar J. Krones Meredith Ringel Morris Jennifer Wortman Vaughan Duncan Wadsworth Hanna M. Wallach 32 74 0 10 Mar 2021
A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions I. Barclay Harrison Taylor Alun D. Preece Ian J. Taylor D. Verma Geeth de Mel 24 13 0 05 Mar 2021
Adaptive Sampling for Minimax Fair Classification S. Shekhar Greg Fields Mohammad Ghavamzadeh T. Javidi FaML 40 37 0 01 Mar 2021
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks A. Wang Dakuo Wang Jaimie Drozdal Michael J. Muller Soya Park Justin D. Weisz Xuye Liu Lingfei Wu Casey Dugan 55 63 0 24 Feb 2021
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 68 415 0 15 Feb 2021
They, Them, Theirs: Rewriting with Gender-Neutral English Tony Sun Kellie Webster Apurva Shah William Yang Wang Melvin Johnson 21 59 0 12 Feb 2021
Confounding Tradeoffs for Neural Network Quantization Sahaj Garg Anirudh Jain Joe Lou Mitchell Nahmias MQ 23 17 0 12 Feb 2021
A Decentralized Approach towards Responsible AI in Social Ecosystems Wenjing Chu 25 9 0 12 Feb 2021
Multisource AI Scorecard Table for System Evaluation Erik P. Blasch James Sung Tao Nguyen 22 31 0 08 Feb 2021
From Toxicity in Online Comments to Incivility in American News: Proceed with Caution A. Hede Oshin Agarwal L. Lu Diana C. Mutz A. Nenkova 8 10 0 06 Feb 2021
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks Mckane Andrus Sarah Dean T. Gilbert Nathan Lambert Tom Zick 14 6 0 04 Feb 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 260 285 0 02 Feb 2021
About Face: A Survey of Facial Recognition Evaluation Inioluwa Deborah Raji G. Fried CVBM 22 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 62 55 0 29 Jan 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP Zeerak Talat Smarika Lulz Joachim Bingel Isabelle Augenstein 96 51 0 28 Jan 2021
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems Jennifer Cobbe M. S. Lee Jatinder Singh 15 72 0 26 Jan 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 17 174 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 34 126 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 124 99 0 22 Jan 2021
Deep Cox Mixtures for Survival Regression Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 42 59 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 38 131 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 154 137 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 34 55 0 07 Jan 2021
Modeling Disclosive Transparency in NLP Application Descriptions Michael Stephen Saxon Sharon Levy Xinyi Wang Alon Albalak Luu Anh Tuan 19 7 0 02 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 28 145 0 01 Jan 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 230 77 0 30 Dec 2020
RoCUS: Robot Controller Understanding via Sampling Yilun Zhou Serena Booth Nadia Figueroa J. Shah 27 14 0 25 Dec 2020
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective S. Kiritchenko I. Nejadgholi Kathleen C. Fraser AILaw 28 85 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 22 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 57 510 0 09 Dec 2020
A Note on Data Biases in Generative Models Patrick Esser Robin Rombach Bjorn Ommer 11 18 0 04 Dec 2020
Non-portability of Algorithmic Fairness in India Nithya Sambasivan Erin Arnesen B. Hutchinson Vinodkumar Prabhakaran FaML 58 17 0 03 Dec 2020
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation hsan Ullah André Ríos Vaibhav Gala Susan Mckeever FAtt 4 10 0 26 Nov 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 23 389 0 18 Nov 2020
Towards evaluating and eliciting high-quality documentation for intelligent systems David Piorkowski D. González John T. Richards Stephanie Houde 31 11 0 17 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 22 247 0 15 Nov 2020
DeepMind Lab2D C. Beattie Thomas Koppe Edgar A. Duénez-Guzmán Joel Z. Leibo VLM 8 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 34 41 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 9 4 0 03 Nov 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 27 156 0 28 Oct 2020
Towards Ethics by Design in Online Abusive Content Detection S. Kiritchenko I. Nejadgholi 21 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 27 63 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 255 426 0 15 Oct 2020