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University of Michigan

Data Science Ethics

University of Michigan via Coursera


What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches?

This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten."

This course will help you answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair.

Data scientists and anyone beginning to use or expand their use of data will benefit from this course. No particular previous knowledge needed.

Taught by

H.V. Jagadish


4.0 rating, based on 1 Class Central review

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  • Dmytro Ivanchenko completed this course, spending 5 hours a week on it and found the course difficulty to be medium.

    Course itself is interesting and definitely worth the time spent, especially if you want to know more about practical application of ethics in data science. Lecturer, H.V. Jagadish, does a great job in delivering information and explaining topics c…

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