Introduction To Algorithm Fairness | Causes, Measuring & Preventing Unfairness In Machine Learning

2024 5:46
Synopsis
An introduction to Algorithm Fairness - the field that aims at understanding and preventing unfairness in machine learning.

You Might Also Like

Algorithmic Bias and Fairness: Crash Course AI #18 11:20
Algorithmic Bias And Fairness: Crash Course Ai #18
2020
Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning 6:18
Protected Attributes And 'fairness Through Unawareness,' Exp...
2021
Michael Kearns: “Fairness” in Machine Learning 2:57
Michael Kearns: “fairness” In Machine Learning
2020
Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact 10:32
Definitions Of Fairness In Machine Learning | Equal Opportun...
2024
What Is Algorithmic Fairness? - Everyday-Networking 3:47
What Is Algorithmic Fairness? - Everyday-networking
2026
Machine Learning Crash Course: Fairness 1:29
Machine Learning Crash Course: Fairness
2025
Correcting Unfairness in Machine Learning | Pre-processing, In-processing, Post-processing 9:01
Correcting Unfairness In Machine Learning | Pre-processing, ...
2024
Can Algorithmic Discrimination Be Prevented In Machine Learning? - AI and Technology Law 3:39
Can Algorithmic Discrimination Be Prevented In Machine Learn...
2026
ensuring fairness in machine learning algorithms 1:07
Ensuring Fairness In Machine Learning Algorithms
2026
Fairness in AI and the importance of de-biasing of algorithms with Kareem Saleh 24:00
Fairness In Ai And The Importance Of De-biasing Of Algorithm...
2023
How Does Algorithmic Bias Cause Discrimination? - AI and Machine Learning Explained 4:08
How Does Algorithmic Bias Cause Discrimination? - Ai And Mac...
2026
Download Options
Choose a download method below. All links open in new tabs.
Service Features Action
SaveFrom
MP4 & MP3 • HD Quality • Browser Extension Available
Download
Security Notice: These are third-party services. We recommend using antivirus software and being cautious of pop-up ads.