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Course Description

In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. From human bias to dataset awareness, we will explore many aspects of building more ethical models.
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Section Title
Artificial Intelligence Data Fairness and Bias
Language of Delivery
English
Section Schedule
Date and Time TBA
Course Fee(s)
Course Fee non-credit $49.00
Drop Request Deadline
TBD
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