All Posts

Paper Accepted to 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence

  • 27 June 2022

Dr. Brown and Surbhi Rathore’s paper “Information Theoretic Framework For Evaluation of Task Level Fairness” was accepted to the 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence! The paper will be presented at the EAI-KDD22 Workshop.

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Teaching Software Carpentry at NSBE

  • 23 March 2022

Dr. Brown taught sw carpentry at NSBE Convention notes from the workshop are online

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Welcome to New Undergraduate Researchers Marie, Caroline, and CJ

  • 24 January 2022

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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.

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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

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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”

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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.

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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.

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New preprint on measuring relative bias with optimal transport on arChiv!

  • 22 February 2021

Preprint on Archiv

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Dr. Brown featured on the TWiML Podcast

  • 15 February 2021

See the episode here

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Welcome new Undergraduate Researchers Zainab, Warith, Jacob, and Brianna!

  • 27 January 2021

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URI Arts & Science feature posted!

  • 19 November 2020

See the full article

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Paper Accepted to NeurIPS Workshop on ML Retrospectives, Surveys, and Meta Analyses

  • 03 November 2020

Our paper with Malik Boykin’s lab at Brown University, “Opportunities for a More Interdisciplinary Approach to Perceptions of Fairness in Machine Learning” has been accepted to the NeurIPS 2020 Workshop: ML Retrospectives, Surveys & Meta-Analyses.

The paper is on the workshop website

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Paper Accepted to NeurIPS Workshop Dataset Curation and Security

  • 02 November 2020

Kweku Kwekir-Aggrey’s paper “Measuring Bias with Wasserstein Distance” was accepted to the NeurIPS 2020 Workshop on Workshop on Dataset Curation and Security!

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Paper Accepted to NeurIPS Workshop on Consequential Decisions in Dynamic Environments

  • 31 October 2020

Jessica Dai’s paper “Label Bias, Label Shift: Fair Machine Learning with Unreliable Labels” was accepted to the NeurIPS 2020 Workshop on Consequential Decisions in Dynamic Environments! She will also present this work at the Women in Machine Learning Workshop.

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Dr. Brown joined FAccT Organizing Committee as Virtual Experience Chair

  • 08 October 2020

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Welcome new Undergraduate Researcher Emmely!

  • 09 September 2020

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Attending NSBE

  • 19 August 2020

Professor Brown is attending the National Society of Black Engineers Conference this week. She is teaching a Data Carpentry Workshop in Python with other members of the Carpentries.

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The first day

  • 16 August 2020

It’s Dr. Brown’s first day at URI!

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