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Reliability at Multiple Stages in a Data Analysis Pipeline
DOI:10.1145/3500923.png)
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
IF:
12.2
论文数:
1.2W
被引数:
3.7W

