Back to Artificial Intelligence Data Fairness and Bias
LearnQuest

Artificial Intelligence Data Fairness and Bias

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.

Status: Algorithms
Status: Predictive Modeling
BeginnerCourse5 hours

Featured reviews

CM

Reviewed Oct 2, 2021

A​n excellent reminder that the bias-variance trade-off is not the only trade-off machine learning specialists make.

DV

Reviewed Feb 27, 2023

Really appreciate given materials, especially good reading references!

SY

Reviewed Mar 30, 2021

A relatively short and interesting course on data fairness and bias impacting AI models.

NN

Reviewed Apr 30, 2026

Thanks for lectures , and help me have a choice for choose this major

RU

Reviewed Apr 19, 2022

Really great discussion of algorithms and how their designs make them susceptible to bias.

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