About
The deployment of AI systems in online platforms has thrived due to direct access to consumer data, the capability to implement personalization, and the ability to run algorithms in real time. A serious concern caused by this deployment in domains such as advertising, pricing, and marketing is that users from protected groups may be harmfully discriminated against unless AI algorithms directly take into account fairness considerations. Such discrimination has been exposed in several business contexts, e.g., discriminatory targeting in housing and job ad auctions, discriminatory personalized pricing for loans and ride-hailing services, and disparate treatment of social network users by marketing campaigns to exclude certain protected groups. This workshop brings together experts from academia, industry, and public policy to explore, uncover, and address fairness issues in operations and AI.
Organizing Committee
- Shipra Agrawal, Columbia IEOR
- Eric Balkanski, Columbia IEOR
- Rachel Cummings, Columbia IEOR
- Adam Elmachtoub, Columbia IEOR
- Christian Kroer, Columbia IEOR
Agenda
