Bias and fairness in AI blogs

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Murtuza Shergadwala

Human-Centric Design For Fairness And Explainable AI

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Amit Paka

FairCanary: Rapid Continuous Explainable Fairness

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Murtuza Shergadwala

Detecting Intersectional Unfairness in AI: Part 2

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Krishna Gade

AI Regulations Are Here. Are You Ready?

By

Murtuza Shergadwala

Detecting Intersectional Unfairness in AI: Part 1

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Henry Lim

Fiddler Recognized as a Representative Vendor in the 2021 Gartner Market Guide

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Henry Lim

Fiddler Listed As A Sample Vendor for Explainable AI in Two 2021 Gartner Hype Cycle Reports

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Anusha Sethuraman

Responsible AI Podcast with Scott Zoldi — "It's time for AI to grow up"

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Amit Paka

EU Mandates Explainability and Monitoring in Proposed GDPR of AI

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Anusha Sethuraman

Fiddler X AWS Startup Showcase: Why Model Performance Management Is the Next Big Thing in AI

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Amit Paka

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

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Anusha Sethuraman

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

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Avijit Ghosh

Measuring Intersectional Fairness

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Mary Reagan, PhD

Understanding Bias and Fairness in AI Systems

By

Anusha Sethuraman

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

By

Anusha Sethuraman

How Do We Build Responsible, Ethical AI?

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Amit Paka

How to Build a Fair AI System

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Krishna Gade

TikTok and the Risks of Black Box Algorithms

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Marissa Gerchick

Identifying bias when sensitive attribute data is unavailable: Geolocation in Mortgage Data

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Marissa Gerchick

Identifying bias when sensitive attribute data is unavailable: Exploring Data from the HMDA

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Marissa Gerchick

Identifying bias when sensitive attribute data is unavailable: Techniques for inferring protected characteristics

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Marissa Gerchick

Identifying bias when sensitive attribute data is unavailable

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Ankur Taly

FAccT 2020 - Three Trends in Explainability

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Krishna Gade

The never-ending issues around AI and bias. Who’s to blame when AI goes wrong?

By

Amit Paka

Regulations To Trust AI Are Here. And It's a Good Thing.

By

Kent Twardock

Can Congress help keep AI fair for consumers?

By

Dan Frankowski

A gentle introduction to algorithmic fairness