Keywords: Algorithmic Fairness, Anonymity, Consent, Data Ownership, Data Validity, University of Michigan
Author: H.V. Jagadish
Publisher: University of Michigan, Coursera
Publication Year: N/A
Summary: The following course from the University of Michigan on Coursera. It is primarily an introductory course that provides the history of the concept of informed consent, data ownership, privacy, anonymity, and data validity. The course also offers brief exposure to the notion of algorithmic fairness that is sometimes violated given the unfair assumptions of an analyst while building a model. In the last chapter of the course, the author provides a methodology to address the issues mentioned above with data ownership, privacy, anonymity, and data validity.
