Title:
Fairness in Algorithmic Decision Making
Fairness in Algorithmic Decision Making
| dc.contributor.author | Kannan, Sampath | |
| dc.contributor.corporatename | Georgia Institute of Technology. Algorithms, Randomness and Complexity Center | en_US |
| dc.contributor.corporatename | University of Pennsylvania. Dept. of Computer and Information Science | en_US |
| dc.date.accessioned | 2018-11-12T17:59:35Z | |
| dc.date.available | 2018-11-12T17:59:35Z | |
| dc.date.issued | 2018-10-29 | |
| dc.description | Presented on October 29, 2018 at 11:00 a.m. in the Klaus Advanced Computing Building, Room 1116E. | en_US |
| dc.description | Sampath Kannan is the Henry Salvatori Professor of Computer and Information Science and Chair of the department at the University of Pennsylvania. Kannan joined Penn Engineering in 1994 after a postdoctoral fellowship at Princeton and four years on the faculty at the University of Arizona. His research interests are broadly in algorithms and complexity. He is also interested in the applications of these theoretical fields to program reliability, computational biology, computer systems, and computational game theory. | en_US |
| dc.description | Runtime: 60:02 minutes | en_US |
| dc.description.abstract | In this talk we survey some formulations of fairness requirements for decision making under uncertainty. We then discuss results from 3 recent papers: 1) Treating individuals fairly is not in conflict with long-term scientific learning goals if the population is sufficiently diverse. 2) When there is a pipeline of decisions, end-to-end fairness is impossible to achieve even in a very simple model. 3) Exploiting the knowledge acquired by others can unfairly advantage the free rider. These papers are joint work with a number of co-authors: Christopher Jung, Neil Lutz, Jamie Morgenstern, Aaron Roth, Bo Waggoner, Steven Wu, and Juba Ziani | en_US |
| dc.format.extent | 60:02 minutes | |
| dc.identifier.uri | http://hdl.handle.net/1853/60529 | |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | Algorithms and Randomness Center (ARC) Colloquium | |
| dc.subject | Algorithmic decision making | en_US |
| dc.subject | Formulas | en_US |
| dc.title | Fairness in Algorithmic Decision Making | en_US |
| dc.type | Moving Image | |
| dc.type.genre | Lecture | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | Algorithms and Randomness Center | |
| local.contributor.corporatename | College of Computing | |
| local.relation.ispartofseries | ARC Colloquium | |
| relation.isOrgUnitOfPublication | b53238c2-abff-4a83-89ff-3e7b4e7cba3d | |
| relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
| relation.isSeriesOfPublication | c933e0bc-0cb1-4791-abb4-ed23c5b3be7e |
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