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Human in the Loop: The Role of Individual and Institutional Behavior on Predictive Algorithms
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Human in the Loop: The Role of Individual and Institutional Behavior on Predictive Algorithms. |
| 개인저자 | Isaac, William. |
| 단체저자명 | Michigan State University. Political Science. |
| 발행사항 | [S.l.]: Michigan State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 95 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01A(E). Dissertation Abstract International |
| ISBN | 9780438332706 |
| 학위논문주기 | Thesis (Ph.D.)--Michigan State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
Adviser: Eric J. Gonzalez Juenke. |
| 요약 | Over the past decade, algorithmic decision systems (ADS)---applications of statistical or computational techniques designed to assist human-decision making processes---have moved from an obscure domain of statistics and computer science into the |
| 요약 | However, recent research from multiple fields has found that social and institutional biases, often reflected by input data used to generate predictions. The potential of perpetuated discrimination via input data is a particular concern in field |
| 일반주제명 | Political science. Public policy. Criminology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
