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.

Certificate Available ✔

Get Started / More Info
Artificial Intelligence Data Fairness and Bias
More Algorithms Courses

Introduction to Discrete Mathematics for Computer Science

University of California San Diego

Discrete Mathematics is the language of Computer Science. One needs to be fluent in it to work in many fields including data science, machine learning, and software...

Decision Making and Reinforcement Learning

Columbia University

This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can...

Operations Research (2): Optimization Algorithms

National Taiwan University

Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics,...


Peking University