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25 lines
1.7 KiB
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"source_file": "9-Real-World/2-Debugging-ML-Models/assignment.md",
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# Explore Responsible AI (RAI) dashboard
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## Instructions
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In this lesson, you learned about the RAI dashboard, a set of tools based on "open-source" technologies designed to assist data scientists in tasks such as error analysis, data exploration, fairness evaluation, model interpretability, counterfactual/what-if assessments, and causal analysis for AI systems. For this assignment, explore some of the sample [notebooks](https://github.com/Azure/RAI-vNext-Preview/tree/main/examples/notebooks) provided for the RAI dashboard and summarize your findings in a paper or presentation.
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## Rubric
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| Criteria | Exemplary | Adequate | Needs Improvement |
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| -------- | --------- | -------- | ----------------- |
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| | A paper or PowerPoint presentation is submitted, discussing the components of the RAI dashboard, the notebook that was executed, and the conclusions derived from running it | A paper is submitted without conclusions | No paper is submitted |
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---
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**Disclaimer**:
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This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation. |