{"title":"Philosophy as Integral to a Data Science Ethics Course","authors":"Sara Colando, Johanna Hardin","doi":"arxiv-2310.02444","DOIUrl":null,"url":null,"abstract":"There is wide agreement that ethical considerations are a valuable aspect of\na data science curriculum, and to that end, many data science programs offer\ncourses in data science ethics. There are not always, however, explicit\nconnections between data science ethics and the centuries-old work on ethics\nwithin the discipline of philosophy. Here, we present a framework for bringing\ntogether key data science practices with ethical topics. The ethical topics\nwere collated from sixteen data science ethics courses with public-facing\nsyllabi and reading lists. We encourage individuals who are teaching data\nscience ethics to engage with the philosophical literature and its connection\nto current data science practices, which is rife with potentially morally\ncharged decision points.","PeriodicalId":501323,"journal":{"name":"arXiv - STAT - Other Statistics","volume":"27 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Other Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2310.02444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.