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Reliability at Multiple Stages in a Data Analysis Pipeline

delete2022-10-20
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PRE
AI
Y
Yuval Moskovitch *
H
H. V. Jagadish
DOI:10.1145/3500923delete
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摘要

摘要

En 中文
THE UBIQUITY OF data in recent years has led to wide use of automated, data-driven decision-making tools. These tools are gradually supplanting humans in a vast range of application domains, including decisions about who should get a loan,a hiring new employees,b student grading,(7) and even assessing the risk of paroling convicted criminals.(4) Our growing dependence on these tools, in particular in domains where datadriven algorithmic decision making may affect human life, raises concerns regarding their reliability. Indeed, with the increasing use of data-driven tools, we also witness a large number of cases where these

期刊

Communications of the ACM 封面图
Communications of the ACM
IF:
12.2
论文数:
1.2W
被引数:
3.7W

机构

B
ben gurion university
学者数:
1.3W
论文数: 1.0W
被引数: 5
U
University of Michigan
学者数:
6.4W
论文数: 5.3W
被引数: 124
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