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.
AUTHORS
Written by
Rachad Alao
Miranda Bogen
Jingang Miao
Ilya Mironov
Jonathan Tannen
Related Publications
November 27, 2022
Core Machine Learning
Neural Attentive Circuits
Nicolas Ballas, Bernhard Schölkopf, Chris Pal, Francesco Locatello, Li Erran, Martin Weiss, Nasim Rahaman, Yoshua Bengio
November 27, 2022
November 27, 2022
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs
Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann
November 27, 2022
November 16, 2022
NLP
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala, Aram H. Markosyan, Armen Aghajanyan, Luke Zettlemoyer
November 16, 2022
November 10, 2022
Computer Vision
Learning State-Aware Visual Representations from Audible Interactions
Unnat Jain, Abhinav Gupta, Himangi Mittal, Pedro Morgado
November 10, 2022
April 08, 2021
Responsible AI
Integrity
Towards measuring fairness in AI: the Casual Conversations dataset
Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton Ferrer
April 08, 2021
April 30, 2018
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings | Facebook AI Research
Tomer Galanti, Lior Wolf, Sagie Benaim
April 30, 2018
April 30, 2018
Computer Vision
NAM – Unsupervised Cross-Domain Image Mapping without Cycles or GANs | Facebook AI Research
Yedid Hoshen, Lior Wolf
April 30, 2018
December 11, 2019
Speech & Audio
Computer Vision
Hyper-Graph-Network Decoders for Block Codes | Facebook AI Research
Eliya Nachmani, Lior Wolf
December 11, 2019
Help Us Pioneer The Future of AI
We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.
Who We Are
Our Actions
Newsletter
Meta © 2023