Data science blogs

By

Murtuza Shergadwala

Making Image Explanations Human-Centric: Decisions Beyond Heatmaps

By

Josh Rubin

What is ChatGPT Thinking?

By

Murtuza Shergadwala

Human-Centric Design For Fairness And Explainable AI

By

Bashir Rastegarpanah

Monitoring Natural Language Processing and Computer Vision Models, Part 3

By

Amal Iyer

Expect The Unexpected: The Importance of Model Robustness

By

Amal Iyer

Monitoring Natural Language Processing and Computer Vision Models, Part 2

By

Bashir Rastegarpanah

Monitoring Natural Language Processing and Computer Vision Models, Part 1

By

Murtuza Shergadwala

Detecting Intersectional Unfairness in AI: Part 2

By

Murtuza Shergadwala

Measuring Data Drift: Population Stability Index

By

Murtuza Shergadwala

Detecting Intersectional Unfairness in AI: Part 1

By

Avijit Ghosh

Measuring Intersectional Fairness

By

Malhar Jere

A Practical Guide to Adversarial Robustness

By

Marissa Gerchick

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

By

Marissa Gerchick

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

By

Ankur Taly

[Video] AI Explained: What are Integrated Gradients?

By

Ankur Taly

AI Explained Video series: What are Shapley Values?

By

Marissa Gerchick

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

By

Dan Frankowski

Should you explain your predictions with SHAP or IG?

By

Dan Frankowski

Causality in model explanations and in the real world

By

Dan Frankowski

"Hey, what's that?" Debugging predictions using explanations

By

Dan Frankowski

A gentle introduction to GA2Ms, a white box model

By

Dan Frankowski

Humans choose, AI does not

By

Dan Frankowski

A gentle introduction to algorithmic fairness