End-to-End Bias Mitigation

Preventing AI bias is a serious issue for every AI project. The increase in AI adoption has also led to a greater risk of companies implementing systems that behave in a biased manner. See how DataRobot offers an end-to-end workflow for tackling AI bias. Understand the tools that help detect and mitigate biased behavior, perform root cause analysis, and monitor biased behavior over time.

Key Objectives

• Define model bias and understand the risks associated with model bias.
• Understand how to use DataRobot to test models for bias.
• Mitigate model bias using DataRobot and evaluate any tradeoffs that come with mitigation.

Speaker

Natalie Bucklin

Senior Product Manager, DataRobot