This three-year, $292,993 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop fair algorithms for auctions, pricing, and marketing mediated by artificial intelligence. The grantee, Columbia University, will design new theoretical frameworks and AI algorithms to ensure consumers from protected groups are not harmfully discriminated against in advertising auctions, ride-sharing and loan pricing, and targeted social media marketing campaigns. Researchers will consider how to incorporate fairness measures into each business context's data collection and decision-making processes, and analyze the long-term effects of fairness on firms and consumers with market competition. The project also supports conferences for practitioners, policymakers, and academics to discuss integrating fair AI algorithms into law and practice.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $293.0k | 2/23/22 |