Posted in 2021
- 07 September 2021
Emmely has continued at URI as a MS student and Surbhi has joined the lab to work on Task Fairness.
- 23 August 2021
Professor Brown and incoming Graduate student Emmely Trejo Alvarez are hosting a workshop for incoming students this week to learn about AI biases by replicating the COMPAS analysis. Resources are available online
- 16 August 2021
A paper with the Boykin lab at Brown University was accepted to the inaugural ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization. It’s availabe open access on ACM DL It’s an extension of a previous workshop paper, “Opportunities for a More Interdisciplinary Approach to Perceptions of Fairness in Machine Learning”
- 06 August 2021
Dr. Brown Received a 2021 IBM Global University Program Academic Award to develop an Information Theoretic Framework for Evaluating Fairness in AI Applications.
- 01 June 2021
Patrick is working on the Wiggum Project and Jake received an Arts & Sciences Fellowship to work on model-based comparison of fair machine learning algorithms.
- 22 February 2021