Data Science Ethics
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale...
By H.V. Jagadish on Coursera
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does Data Science Ethics cost?
Visit the Data Science Ethics course page for current pricing and available discounts.
Who teaches Data Science Ethics?
Data Science Ethics is taught by H.V. Jagadish, University of Michigan.
What skill level is Data Science Ethics for?
This course is designed for all levels learners.
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