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
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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Gain insight into a topic and learn the fundamentals.
122 reviews
Beginner level
No prior experience required
5 hours to complete
Flexible schedule
Learn at your own pace
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Assessments
9 assignments
Taught in English
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This course is part of the Ethics in the Age of AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
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Showing 3 of 122
PE
Reviewed on Jul 26, 2021
I love what you do and how you do it at learnQuest, keep doing great work
RU
Reviewed on Apr 19, 2022
Really great discussion of algorithms and how their designs make them susceptible to bias.
SY
Reviewed on Mar 30, 2021
A relatively short and interesting course on data fairness and bias impacting AI models.
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