AF:RI:Small: Fairness in allocation and machine learning problems: algorithms and solution — NSF Award to University of Illinois a
Fairness is one of the highest pursuits of human society. With advanced computer technology, enormous computational power, and data availability, it is natural and inevitable to turn to computer-aided decision-making. There arises a two-fold challenge of fair computation: (i) achieve fairness through computation, i.e.,
| Award title | AF:RI:Small: Fairness in allocation and machine learning problems: algorithms and solution |
|---|---|
| Award ID | 2334461 |
| Awardee | University of Illinois at Urbana-Champaign |
| City | URBANA |
| State | IL |
| Amount obligated | $600,000 |
| Principal investigator | Ruta Mehta |
| Program | Algorithmic Foundations |
| Start date | 01/01/2024 |
| Abstract | Fairness is one of the highest pursuits of human society. With advanced computer technology, enormous computational power, and data availability, it is natural and inevitable to turn to computer-aided decision-making. There arises a two-fold challenge of fair computation: (i) achieve fairness through computation, i.e., allocating resources (or tasks) fairly, for example, in vaccine distribution and sharing pollution costs, and (ii) fairness in computation arising from machine learning-based deci |
| Source | NSF Awards |
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