Datasheets for Datasets

23 March 2018

Timnit Gebru

Jamie Morgenstern

Briana Vecchione

Jennifer Wortman Vaughan

Papers citing "Datasheets for Datasets"

50 / 966 papers shown

Title
A Methodology for Creating AI FactSheets John T. Richards David Piorkowski Michael Hind Stephanie Houde Aleksandra Mojsilović 15 45 0 24 Jun 2020
Large image datasets: A pyrrhic win for computer vision? Vinay Uday Prabhu Abeba Birhane 6 357 0 24 Jun 2020
Technology Readiness Levels for AI & ML Alexander Lavin Ajay Sharma VLM 6 105 0 21 Jun 2020
Trust and Transparency in Contact Tracing Applications S. Hobson Michael Hind Aleksandra Mojsilović Kush R. Varshney 11 8 0 19 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko Pavel Izmailov A. Wilson OODD 6 271 0 15 Jun 2020
Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory C. Tennant A. Carpenter T. Powers A. Solopova Lasitha Vidyaratne Khan M. Iftekharuddin 8 44 0 11 Jun 2020
Towards Integrating Fairness Transparently in Industrial Applications Emily Dodwell Cheryl J. Flynn B. Krishnamurthy S. Majumdar Ritwik Mitra 14 0 0 10 Jun 2020
Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges M. Eskénazi Tiancheng Zhao LLMAG AI4TS AI4CE 33 9 0 10 Jun 2020
The Tragedy of the AI Commons Travis LaCroix Aydin Mohseni 9 11 0 09 Jun 2020
Principles to Practices for Responsible AI: Closing the Gap Daniel S. Schiff B. Rakova A. Ayesh Anat Fanti M. Lennon 19 87 0 08 Jun 2020
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? Kobi Leins Jey Han Lau Timothy Baldwin FaML 8 39 0 27 May 2020
MT-Adapted Datasheets for Datasets: Template and Repository Marta R. Costa-jussá Roger Creus Oriol Domingo A. Domínguez Miquel Escobar Cayetana López Marina Garcia Margarita Geleta 15 12 0 27 May 2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias Samaneh Abbasi-Sureshjani Ralf Raumanns B. Michels Gerard Schouten V. Cheplygina FaML 12 34 0 20 May 2020
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning Michael Boratko Xiang Lorraine Li Rajarshi Das Timothy J. O'Gorman Daniel Le Andrew McCallum 14 56 0 02 May 2020
NUBIA: NeUral Based Interchangeability Assessor for Text Generation Hassan Kané Muhammed Yusuf Kocyigit Ali Abdalla Pelkins Ajanoh Mohamed Coulibali 21 58 0 30 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 25 185 0 16 Apr 2020
Hiring Fairly in the Age of Algorithms Max Langenkamp Allan dos Santos Costa C. Y. Cheung FaML MLAU 10 24 0 15 Apr 2020
Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world B. Butcher V. Huang Jeremy Reffin S. Sgaier Grace Charles Novi Quadrianto CML 11 17 0 12 Mar 2020
The Problem with Metrics is a Fundamental Problem for AI Rachel L. Thomas D. Uminsky 6 66 0 20 Feb 2020
Whose Side are Ethics Codes On? Power, Responsibility and the Social Good A. Washington Rachel Kuo 7 28 0 04 Feb 2020
How do Data Science Workers Collaborate? Roles, Workflows, and Tools Amy X. Zhang Michael J. Muller Dakuo Wang FedML AI4CE 21 258 0 18 Jan 2020
Teaching Responsible Data Science: Charting New Pedagogical Territory Julia Stoyanovich Armanda Lewis 9 37 0 23 Dec 2019
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning Eun Seo Jo Timnit Gebru 6 304 0 22 Dec 2019
Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From? R. Geiger Kevin Yu Yanlai Yang Mindy Dai Jie Qiu Rebekah Tang Jenny Huang 14 153 0 17 Dec 2019
AI and Holistic Review: Informing Human Reading in College Admissions AJ Alvero Noah Arthurs A. Antonio B. Domingue Ben Gebre-Medhin Sonia Giebel M. Stevens 12 34 0 17 Dec 2019
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 13 337 0 17 Dec 2019
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 8 315 0 16 Dec 2019
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles Inioluwa Deborah Raji Jingyi Yang 8 37 0 12 Dec 2019
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 4 380 0 11 Dec 2019
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches Kacper Sokol Peter A. Flach XAI 9 299 0 11 Dec 2019
Energy Usage Reports: Environmental awareness as part of algorithmic accountability Kadan Lottick Silvia Susai Sorelle A. Friedler Jonathan P. Wilson 9 55 0 19 Nov 2019
Experiences with Improving the Transparency of AI Models and Services Michael Hind Stephanie Houde Jacquelyn Martino Aleksandra Mojsilović David Piorkowski John T. Richards Kush R. Varshney 14 48 0 11 Nov 2019
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Santosh Shah H. A. Schwartz Dirk Hovy AI4CE 16 257 0 09 Nov 2019
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity Agathe Balayn A. Bozzon ELM 9 4 0 06 Nov 2019
Assessing Social and Intersectional Biases in Contextualized Word Representations Y. Tan Elisa Celis FaML 14 223 0 04 Nov 2019
Toward Gender-Inclusive Coreference Resolution Yang Trista Cao Hal Daumé 23 141 0 30 Oct 2019
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 20 134 0 26 Oct 2019
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design Mayoore S. Jaiswal Bumboo Kang Jinho Lee Minsik Cho 9 2 0 15 Oct 2019
Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector Grace A. Lewis S. Bellomo April Galyardt 14 6 0 14 Oct 2019
ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia Aaron L Halfaker R. Geiger AI4TS KELM 14 20 0 11 Sep 2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency Kacper Sokol Raúl Santos-Rodríguez Peter A. Flach 12 37 0 11 Sep 2019
Show Your Work: Improved Reporting of Experimental Results Jesse Dodge Suchin Gururangan Dallas Card Roy Schwartz Noah A. Smith 14 249 0 06 Sep 2019
Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research David Schlangen 11 18 0 28 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,203 0 23 Aug 2019
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective Danielle Bragg Oscar Koller Mary Bellard Larwan Berke Patrick Boudreault ... Matt Huenerfauth Hernisa Kacorri Tessa Verhoef Christian Vogler Meredith Ringel Morris 16 357 0 22 Aug 2019
Fairness Issues in AI Systems that Augment Sensory Abilities Leah Findlater Steven M. Goodman Yuhang Zhao Shiri Azenkot Margot Hanley 6 25 0 16 Aug 2019
Grape detection, segmentation and tracking using deep neural networks and three-dimensional association T. T. Santos Leonardo L. de Souza A. Santos Sandra Avila 6 268 0 26 Jul 2019
TED-On: A Total Error Framework for Digital Traces of Human Behavior on Online Platforms Indira Sen Fabian Flöck Katrin Weller Bernd Weiss Claudia Wagner 8 49 0 18 Jul 2019
How we do things with words: Analyzing text as social and cultural data D. Nguyen Maria Liakata Simon DeDeo Jacob Eisenstein David M. Mimno Rebekah Tromble J. Winters 16 87 0 02 Jul 2019
Reproducibility in Machine Learning for Health Matthew B. A. McDermott Shirly Wang N. Marinsek Rajesh Ranganath Marzyeh Ghassemi L. Foschini AI4TS 6 50 0 02 Jul 2019