Bias and Fairness in AI Blogs

Learn how to create fair, ethical AI and the key challenges ML teams face when addressing fairness and model bias.

Murtuza Shergadwala

Human-Centric Design For Fairness And Explainable AI

Amit Paka

FairCanary: Rapid Continuous Explainable Fairness

Murtuza Shergadwala

Detecting Intersectional Unfairness in AI: Part 2

Krishna Gade

AI Regulations Are Here. Are You Ready?

Murtuza Shergadwala

Detecting Intersectional Unfairness in AI: Part 1

Amit Paka

Introducing Bias Detector: A New Methodology to Assess Machine Learning Fairness

Anusha Sethuraman

Responsible AI Podcast with Anand Rao – “It’s the Right Thing to Do”

Avijit Ghosh

Measuring Intersectional Fairness

Mary Reagan

Understanding Bias and Fairness in AI Systems

Anusha Sethuraman

AI in Finance Panel: Accelerating AI Risk Mitigation with XAI and Continuous Monitoring

Anusha Sethuraman

How Do We Build Responsible, Ethical AI?

Amit Paka

How to Build a Fair AI System

Krishna Gade

TikTok and the Risks of Black Box Algorithms

Marissa Gerchick

Identifying Bias When Sensitive Attribute Data is Unavailable: Geolocation in Mortgage Data

Marissa Gerchick

Identifying Bias When Sensitive Attribute Data is Unavailable: Exploring Data From the Hmda

Marissa Gerchick

Identifying Bias When Sensitive Attribute Data is Unavailable: Techniques for Inferring Protected Characteristics

Marissa Gerchick

Identifying Bias When Sensitive Attribute Data is Unavailable

Krishna Gade

The Never-ending Issues Around AI and Bias – Who’s to Blame When AI Goes Wrong?

Amit Paka

Regulations to Trust AI Are Here. And it's a Good Thing

Kent Twardock

Can Congress Help Keep AI Fair for Consumers?

Dan Frankowski

A Gentle Introduction to Algorithmic Fairness