Intersectional Group Fairness in Machine Learning

  • The importance of fairness in AI
  • Why AI fairness is even more critical today
  • Why intersectional group fairness is critical to improving AI fairness

ML Models Prone to Error

  • Wavering performance over time, decaying due to changes in use behavior or system errors
  • Data Drift — Production data can change vs training data — performance impacted with shifting data
  • Data Integrity — Data errors are common in ML pipelines. It’s difficult to catch before metrics impact outcomes
  • Fairness/Bias — Models can add or amplify bias. Regulatory and brand risk
  • Transparency — Models are increasingly a blackbox which make them difficult to debug

Intersectional Group Fairness

Model Performance Management

Bias Detection in Modelling

  • Real-time Fairness — Measure fairness on production data as well as on static datasets
  • Integration into Modelling — Receive real-time fairness alerts and address the issue when they matter
  • Built-in Explainability — Understand the impact of features to specific fairness metrics
  • Risk Mitigation — Trackback to any past incident or analyze future predictions to minimize risk




Bringing together the brightest minds in AI & Deep Learning from research & industry

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Real-time face liveness detection with Python, Keras and OpenCV

K-Nearest Neighbors Tutorial

Predicting Asteroid’s Diameter Using Machine Learning

Classification and Regression Analysis with Decision Trees

Is the TensorFlow Developer Certificate worth it?

Real-Time Dense Stereo Matching with ELAS on FPGA Accelerated Embedded Devices

TensorFlow : DNNClassifier

The Curious Case of the Validation Loss Mismatch

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store


Bringing together the brightest minds in AI & Deep Learning from research & industry

More from Medium

Voila! Risk Alert

Gaurav Singhal | AIcrew Stories

Hidden Markov Models and their Algorithms

AI is/as a Myth!