Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning

22 December 2019

Papers citing "Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning"

10 / 10 papers shown

Title
Position: Model Collapse Does Not Mean What You Think Rylan Schaeffer Joshua Kazdan Alvan Caleb Arulandu Sanmi Koyejo 207 3 0 05 Mar 2025
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies Elisa Nguyen Michael Simeone Erik Johnston Martin Gubri 190 0 0 20 Dec 2024
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review Ming Li Ariunaa Enkhtur B. Yamamoto Fei Cheng Lilan Chen AI4CE 98 5 0 24 Nov 2023
Near Perfect GAN Inversion Qianli Feng Viraj Shah Raghudeep Gadde Pietro Perona Aleix M. Martinez GAN 124 18 0 23 Feb 2022
Artificial Intelligence: the global landscape of ethics guidelines Anna Jobin M. Ienca E. Vayena 81 1,637 0 24 Jun 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 245 769 0 13 Dec 2018
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 134 1,903 0 05 Oct 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 271 2,195 0 23 Mar 2018
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes Nikhil Garg L. Schiebinger Dan Jurafsky James Zou AI4TS 71 965 0 22 Nov 2017
Consumers and Curators: Browsing and Voting Patterns on Reddit M. Glenski Corey Pennycuff Tim Weninger 38 73 0 15 Mar 2017