AWS released Amazon SageMaker Clarify, a new tool for mitigating bias in machine learning model that helps customers more accurately and rapidly detect bias to build better solutions. This provides critical data and insights that increase transparency to help support analysis and explanation of model behavior to stakeholders and customers.
Why is it important?
- Easily Detect Bias: SageMaker Clarify will help data scientists detect bias in data sets before training and their models after training.
- Valuable Metrics & Statistics: It explains how feature values contribute to the predicted outcome, both for the model overall and for individual predictions.
- Build Better Solutions: With the capability for developers to specify important model attributes, such as location, occupation, age, teams are better able to focus the set of algorithms in a sophisticated way to detect any presence of bias in those attributes. This enables teams to build the most accurate and effective solutions that drive client success.
Why are we excited?
With Amazon SageMaker Clarify, we can now better understand each feature in our ML models and give more detailed explanations to stakeholders. It provides transparency in model understanding that gives leadership more valuable information to inform critical business decision-making. SageMaker Clarify also includes feature importance graphs that explain model predictions and produce reports for presentations to better highlight any significant business impacts.
SageMaker Clarify is available in all regions where Amazon SageMaker is available. The tool will come free for all current users of Amazon SageMaker.
If you’re looking to explore these services further and need some guidance, let us know and we’ll connect you to an Idexcel expert!