2 options
Algorithmic processes and social values / Zachary Ian Schutzman.
- Format:
- Book
- Thesis/Dissertation
- Author/Creator:
- Schutzman, Zachary Ian, author.
- Language:
- English
- Subjects (All):
- Computer science.
- Population.
- Redistricting.
- Decision making.
- Symmetry.
- Social norms.
- Design.
- Algorithms.
- Privacy.
- Candidates.
- Asymmetry.
- Computer and Information Science--Penn dissertations.
- Penn dissertations--Computer and Information Science.
- Local Subjects:
- Computer science.
- Population.
- Redistricting.
- Decision making.
- Symmetry.
- Social norms.
- Design.
- Algorithms.
- Privacy.
- Candidates.
- Asymmetry.
- Computer and Information Science--Penn dissertations.
- Penn dissertations--Computer and Information Science.
- Genre:
- Academic theses.
- Physical Description:
- 1 online resource (186 pages)
- Contained In:
- Dissertations Abstracts International 83-03A.
- Place of Publication:
- [Philadelphia, Pennsylvania] : University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2021.
- Language Note:
- English
- System Details:
- Mode of access: World Wide Web.
- text file
- Summary:
- In this thesis, we study several problems at the interface of algorithmic decision-making and society, focusing on the tensions that arise between these processes and social values like fairness and privacy. In the first chapter, we examine the design of financial portfolios which adequately serve all segments of the population. In the second, we examine an allocation setting where the allocator wishes to distribute a scarce resource across many groups fairly, but does not know ahead of time which groups have a need for the resource. In the third, we study a game-theoretic model of information aggregation and the effects of individuals acting to preserve the privacy of their personal beliefs on the collective welfare of the population. Finally, we look at some of the issues that arise from the desire to apply automated techniques to problems in redistricting, including fundamental flaws in the definitions and frameworks typically used.
- Notes:
- Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
- Advisors: Roth, Aaron; Committee members: Kearns, Michael; Kannan, Sampath; Lum, Kristian; Procaccia, Ariel.
- Department: Computer and Information Science.
- Ph.D. University of Pennsylvania 2021.
- Local Notes:
- School code: 0175
- ISBN:
- 9798535590769
- Access Restriction:
- Restricted for use by site license.
- This item must not be sold to any third party vendors.
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