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assignment Level : Introductive
chat_bubble_outline Language : English
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Key information

credit_card Free access
verified_user Fee-based Certificate
timer 12 hours in total

About the content

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.

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Prerequisite

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

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Syllabus

  • Who owns data
  • How we value different aspects of privacy
  • How we get informed consent
  • What it means to be fair
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Instructors

H. V. Jagadish
Bernard A Galler Collegiate Professor, Electrical Engineering and Computer Science
University of Michigan

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Content designer

The University of Michigan
The University of Michigan
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Platform

Edx

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