REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research

5 May 2022

Papers citing "REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research"

5 / 5 papers shown

Title
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems Jing Nathan Yan Junxiong Wang Jeffrey M. Rzeszotarski Allison Koenecke FaML 78 0 0 26 May 2025
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation Maria Eriksson Erasmo Purificato Arman Noroozian Joao Vinagre Guillaume Chaslot Emilia Gomez David Fernandez-Llorca ELM 231 6 0 10 Feb 2025
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 71 287 0 29 Jun 2021
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 285 2,201 0 23 Mar 2018
Machine Learning that Matters K. Wagstaff 136 313 0 18 Jun 2012