Posted in 2021
Welcome Emmely and Surbhi as the first graduate students!
- 07 September 2021
Emmely has continued at URI as a MS student and Surbhi has joined the lab to work on Task Fairness.
TD STEM Academy Workshop
- 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
New Paper Accepted to EAAMO’21
- 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”
IBM Academic Award
- 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.
Welcome New Undergraduate Researchers Patrick and Jake
- 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.
New preprint on measuring relative bias with optimal transport on arChiv!
- 22 February 2021
Dr. Brown featured on the TWiML Podcast
- 15 February 2021
See the episode here