数据科学伦理

Data Science Ethics

Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.

555 次查看
密歇根大学
edX
  • 完成时间大约为 4
  • 初级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Who owns data

How we value different aspects of privacy

How we get informed consent

What it means to be fair

课程概况

As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.

Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.

预备知识

The ability to think critically about the impact of one's decisions.

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