Mila > Biasly

Biasly

AI to detect and correct misogynistic language

Project Description

 

Biasly is an AI research project leveraging cutting edge natural language processing algorithms to identify and correct misogynistic language in written text, whether such text is expressed overtly or covertly. Biasly is being developed to explain why language can be interpreted as misogynistic and suggest ways of rephrasing to reduce or remove the misogynistic implications.

About the project

The Origin

Biasly was originally devised by Andrea Jang, Carolyne Pelletier, Ines Moreno and Yasmeen Hitti during their summer training at the AI4Good Lab. Their goal was to build a machine learning tool capable of detecting and correcting gender bias in written text. To bring their idea to fruition, the team decided to undertake a Humanitarian AI Internship with Mila, where they developed a taxonomy for gender bias in text. Although their internship has since ended, Mila’s team of researchers has continued to pursue this work to fulfill Biasly’s vision.

Taking Biasly to a New Level

Biasly’s current team has been strategically assembled to ensure the responsible and high impact delivery of this work. 

Our ML researchers are Anna Richter (MSc in Cognitive Science) and Brooklyn Sheppard (MSc in Speech and Language Processing).

The project is being managed by Senior Projects Manager, Allison Cohen, in collaboration with experts from the field; including Linguistics expert, Dr. Elizabeth Smith; Gender Studies specialist, Dr. Tamara Kneese; Natural Language Processing Advisor, Dr. Yue Dong and Language Processing Engineer, Carolyne Pelletier.

The project has also been fortunate to have had the insight and expertise of AI Researcher, Dr. Ioana Baldini and Gender Studies Expert, Dr. Alex Ketchum.

What’s Next

Biasly expects to have its dataset and models available, open source, by September 2023.

Depending on the tool’s performance, and in accordance with ethical AI standards, we will determine whether Biasly will be released as a downloadable Chrome extension.

We are continuing to seek opportunities for financial support. If you are interested in becoming involved, please contact Allison Cohen.

Team Members

Allison Cohen

Senior Applied AI Projects Manager, Mila

Anna Richter

NLP Scientist, Mila

Brooklyn Sheppard

NLP Scientist, Mila

Dr. Yue Dong

Assistant Professor, University of California – Riverside

NLP Advisor

Carolyne Pelletier

Senior NLP Engineer, Mantium

Dr. Elizabeth Smith

Linguistics Professor, UQAM

Dr. Tamara Kneese

Visiting Scholar, Center for Science, Technology, Medicine, and Society at University of California, Berkeley

Dr. Alexandra Ketchum (previous)

Faculty Lecturer at the Institute for Gender, Sexuality and Feminist Studies of McGill

Contributors

This project has benefited from the generous support of DRW.