Detect Bias & Ensure Fairness in Domino

This session will utilize the IBM AI Fairness 360 library to detect bias in data and models, and produce a "fair" model in Domino.

Using open-source libraries to detect bias and ensure fairness with Domino

By the end of this customer tech hour, you will be able to:

Recognize many ways of measuring “bias” and “fairness” in data science.

Identify bias/fairness metrics that make sense for your context.

Detect bias in data and in models with the IBM AI Fairness 360 library.

Produce a “fair” model using the IBM AI Fairness 360 library.

Illustrate how Domino’s governance features make Responsible AI, detecting bias, and ensuring fairness easier.

By the end of this customer tech hour, you will be able to:

Recognize many ways of measuring “bias” and “fairness” in data science.
Identify bias/fairness metrics that make sense for your context.
Detect bias in data and in models with the IBM AI Fairness 360 library.
Produce a “fair” model using the IBM AI Fairness 360 library.
Illustrate how Domino’s governance features make Responsible AI, detecting bias, and ensuring fairness easier.