Gender and Intersectional Bias in Artificial Intelligence Conference

Friday, November 10, 2023

8:30 am - 1:00 pm

Thorne Auditorium

This event was co-organized by Anika Gray and Dan Linna, and presented by The Gender Equity Initiative & The Law and Technology Initiative at Northwestern Pritzker Law

The event will bring together technology and legal experts to discuss the many manifestations of gender and intersectional bias in AI as well as the innovative approaches to being proposed and used to mitigate those biases.

This program has been approved for 2.25 diversity and inclusion professional responsibility CLE credits in Illinois.

Space is limited. Registration is required. Breakfast and lunch will be provided.

Schedule

8:30 am - 9:00 am	Welcome Reception Breakfast will be served
9:00 am - 9:15 am	Welcome Remarks and Introduction Dean Hari Osofsky Dean and Myra and James Bradwell Professor of Law Professor of Environmental Law and Culture (Courtesy) Anika Gray Director, Gender Equity Initiatives, Northwestern Pritzker School of Law
9:20 am - 10:30 am	Manifestation of Gender and Intersectional Bias in Artificial Intelligence Moderated By Daniel W. Linna Jr. Objectives: 1. Participants will be introduced to the different ways in which gender and intersectional bias manifest in artificial intelligence used in the legal industry and wider society. 2. Participants will be introduced to AI design, development, and validation and opportunities for law to address challenges Kris Hammond Bill and Cathy Osborn Professor of Computer Science, Northwestern University McCormick School of Engineering Jessica Hullman Ginni Rometty Professor of Computer Science, Northwestern University McCormick School of Engineering Hatim Rahman Assistant Professor of Management and Organizations at the Kellogg School of Management, Northwestern University Marcelo Worsley Assistant Professor of Computer Science and Education and Social Policy, Northwestern University McCormick School of Engineering
10:30 am – 10:45 am	Networking Break
10:45 am – 11:55 am	Current/Innovative Approaches to Deal with Gender and Intersectional Bias in AI Moderated by Anika Gray Objectives: 1. Participants will learn the current ways the law is being used to mitigate gender and intersectional bias in artificial intelligence used in the legal industry. 2. Participants will learn about technical approaches to mitigating gender and intersectional bias and how law can best interact with technology to mitigate bias. Michelle Birkett Assistant Professor of Medical Social Sciences, Northwestern University Feinberg School of Medicine Glynna Christian Data Strategy and Business Partner at Holland & Knight Daniel B. Rodriguez Harold Washington Professor of Law, Northwestern Pritzker School of Law Daniel W. Linna Jr. Senior Lecturer & Director of Law and Technology Initiatives, Northwestern Pritzker School of Law & McCormick School of Engineering
11:55 am – 12:00 pm	Closing Remarks Daniel W. Linna Jr. Senior Lecturer & Director of Law and Technology Initiatives, Northwestern Pritzker School of Law & McCormick School of Engineering
12:00 pm – 1:00 pm	Lunch

Gender and AI Conference Speaker List