The Social Science of Privacy - Effects on Industry and Government Data Use
Companion Proceedings of The 2019 World Wide Web Conference(2019)
摘要
The sharing of data is at the core of many technology companies. Data sharing is also increasingly important for government decision-making, as stated by the Commission on Evidenced-Based Policymaking, which led to the Foundations for Evidence-Based Policymaking Act. However, in many instances, data used for decision-making is generated by people, and needs to be explicitly shared by the data subject with those wanting to use the data. The decision-making process behind sharing (private) information needs to be understood to assess (and circumvent) potential biases in the resulting data. When assessing bias in algorithmic decision-making, awareness of biases in the training data is essential. This presentation will review social science theories behind data sharing decision-making, highlight a series of experimental studies designed to affect sharing decisions, and present a framework design to detect sources of bias in various data sources.
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关键词
data sharing, decision making, social science
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