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ML-For-Beginners/9-Real-World/2-Debugging-ML-Models/assignment.md

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# Explore Responsible AI (RAI) dashboard
## Instructions
In this lesson you learned about the RAI dashboard, a suite of components built on "open-source" tools to help data scientists perform error analysis, data exploration, fairness assessment, model interpretability, counterfact/what-if assesments and causal analysis on AI systems." For this assignment, explore some of RAI dashboard's sample [notebooks](https://github.com/Azure/RAI-vNext-Preview/tree/main/examples/notebooks) and report your findings in a paper or presentation.
## Rubric
| Criteria | Exemplary | Adequate | Needs Improvement |
| -------- | --------- | -------- | ----------------- |
| | A paper or powerpoint presentation is presented discussing RAI dashboard's components, the notebook that was run, and the conclusions drawn from running it | A paper is presented without conclusions | No paper is presented |