Addressing Gender and Intersectional Bias in Artificial Intelligence
by Northwestern University's McCormick School of Engineering
The "Addressing Gender and Intersectional Bias in Artificial Intelligence" conference was organized by Northwestern University's McCormick School of Engineering. This event convened experts from various disciplines to explore the challenges and solutions related to biases in AI systems, particularly those affecting gender and intersecting identities.
Key topics included the identification and measurement of bias in computational systems, the impact of biased AI on marginalized communities, and strategies for mitigating these biases through technical and sociotechnical approaches. Discussions also covered the role of law and policy in regulating AI to prevent discriminatory outcomes.
The conference featured panel discussions with notable speakers such as Kristian J. Hammond, Jessica Hullman, and Hatim Rahman, who shared insights on building trustworthy AI systems and the importance of interdisciplinary collaboration. Attendees had opportunities for networking and engaging in dialogues aimed at fostering more equitable AI technologies.
This event was particularly relevant for AI practitioners, policymakers, legal professionals, and scholars interested in the ethical implications of AI. Participants gained a deeper understanding of how to develop and implement AI systems that are fair and inclusive.
Speakers(3)
Anika Gray
Director of Gender Equity Initiatives at Northwestern Pritzker School of Law
Anika Gray serves as the Director of Gender Equity Initiatives at Northwestern Pritzker School of Law, leading efforts to promote gender equity and address biases in legal and technological contexts.
Daniel W. Linna Jr.
Senior Lecturer and Director of Law and Technology Initiatives at Northwestern Pritzker School of Law
Daniel W. Linna Jr. is a Senior Lecturer and Director of Law and Technology Initiatives at Northwestern Pritzker School of Law, specializing in the intersection of law and technology, particularly in mitigating biases in AI systems.
Hari M. Osofsky
Dean and Myra and James Bradwell Professor of Law at Northwestern Pritzker School of Law
Hari M. Osofsky is the Dean and Myra and James Bradwell Professor of Law at Northwestern Pritzker School of Law, focusing on interdisciplinary approaches to legal education and addressing challenges in AI and bias.
Event Details
- Date
- November 15, 2023
- Location
- 🇺🇸 Chicago, United States
- Northwestern University
- Audience
- AI practitioners, policymakers, legal professionals, scholars