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
Access provided by National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
11,782 already enrolled
Gain insight into a topic and learn the fundamentals.
124 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 124
NN
Reviewed on Apr 30, 2026
Thanks for lectures , and help me have a choice for choose this major
DV
Reviewed on Feb 27, 2023
Really appreciate given materials, especially good reading references!
SY
Reviewed on Mar 30, 2021
A relatively short and interesting course on data fairness and bias impacting AI models.
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