哲学作为数据科学伦理课程的组成部分

Sara Colando, Johanna Hardin
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引用次数: 0

摘要

人们普遍认为,伦理考虑是数据科学课程的一个有价值的方面,为此,许多数据科学项目提供数据科学伦理课程。然而,数据科学伦理与哲学学科中已有数百年历史的伦理工作之间并不总是存在明确的联系。在这里,我们提出了一个框架,将关键的数据科学实践与伦理主题结合在一起。这些伦理主题是从16门数据科学伦理课程中整理出来的,这些课程都有面向公众的教学大纲和阅读书目。我们鼓励教授数据科学伦理的个人参与哲学文献及其与当前数据科学实践的联系,这些实践充满了潜在的道德风险决策点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Philosophy as Integral to a Data Science Ethics Course
There is wide agreement that ethical considerations are a valuable aspect of a data science curriculum, and to that end, many data science programs offer courses in data science ethics. There are not always, however, explicit connections between data science ethics and the centuries-old work on ethics within the discipline of philosophy. Here, we present a framework for bringing together key data science practices with ethical topics. The ethical topics were collated from sixteen data science ethics courses with public-facing syllabi and reading lists. We encourage individuals who are teaching data science ethics to engage with the philosophical literature and its connection to current data science practices, which is rife with potentially morally charged decision points.
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