RESEARCH
How Meta is working to assess fairness in relation to race in the U.S. across its products and systems
November 16, 2021
Abstract
At Meta, we’re taking action to advance racial justice in our company and on our platform.
The purpose of this paper is to describe in detail privacy-preserving approaches that Meta is currently scoping and piloting in the U.S. to advance our ability to assess whether product and system differences exist across race and ethnicity.
Download the Technical Paper
AUTHORS
Written by
Rachad Alao
Miranda Bogen
Jingang Miao
Ilya Mironov
Jonathan Tannen
Related Publications
June 14, 2020
Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA | Facebook AI Research
Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach
June 14, 2020
April 25, 2020
Permutation Equivariant Models for Compositional Generalization in Language | Facebook AI Research
Jonathan Gordon, David Lopez-Paz, Marco Baroni, Diane Bouchacourt
April 25, 2020
September 15, 2019
SPEECH & AUDIO
Who Needs Words? Lexicon-Free Speech Recognition | Facebook AI Research
Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
September 15, 2019
September 10, 2019
NLP
Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling | Facebook AI Research
Jinfeng Rao, Linqing Liu, Yi Tay, Wei Yang, Peng Shi, Jimmy Lin
September 10, 2019
Latest News
