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.

Artificial Intelligence Data Fairness and Bias
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Artificial Intelligence Data Fairness and Bias
This course is part of Ethics in the Age of AI Specialization

Instructor: LearnQuest Network
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Reviewed on Apr 19, 2022
Really great discussion of algorithms and how their designs make them susceptible to bias.
Reviewed on Mar 30, 2021
A relatively short and interesting course on data fairness and bias impacting AI models.
Reviewed on Oct 2, 2021
An excellent reminder that the bias-variance trade-off is not the only trade-off machine learning specialists make.

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