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.
- 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.
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