NYU Classifieds>NYU Online Courses>Artificial Intelligence Data Fairness and Bias

Artificial Intelligence Data Fairness and Bias

About this Course

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.

Created by: LearnQuest


Related Online Courses

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will learn to create Cloud SQL instances with Terraform, then set up the Cloud SQL Proxy, testing the... more
**Enroll in this Guided Project before April 2026, for a free 1-month trial to the Adobe Creative Cloud Suite!** In this 1-hour guided project you will learn the basics of Adobe Illustrator to... more
Unlock the full potential of Microsoft Teams with this comprehensive course, designed to empower you with the skills to deploy, configure, and manage Teams effectively. You\'ll learn how to... more
The Global Diplomacy course is a unique offering to the MOOC environment. Bringing together cutting edge research in the broad fields of Diplomatic and International Studies, award winning distance... more
By the end of this project, you will have created a Visual Tasks Guide to use with your students. As teachers, we are always looking for ways to help our students grow. For students with special... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL