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Responsible AI
Learn how to use features in Dataiku to keep the outputs of AI aligned with Responsible AI principles.
Curriculum90 min
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Introduction to Responsible AI
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Concept | Dangers of irresponsible AI
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Concept | Responsible AI in the data science practice
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Identifying Data Biases
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Tutorial | Question the data
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Tutorial | Observe the data
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Model Fairness & Interpretability
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Tutorial | Model fairness metrics
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Concept | Evaluating group fairness
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Tutorial | Design for group fairness
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Concept | Interpretability
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Tutorial | Interpretability techniques
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Model Explainability & Reporting
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Concept | Model transparency
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Concept | Deployment biases
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Tutorial | Model explainability
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Tutorial | Reporting strategies
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Wrap Up
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Curriculum90 min
-
Introduction to Responsible AI
-
-
Concept | Dangers of irresponsible AI
-
Concept | Responsible AI in the data science practice
-
-
Identifying Data Biases
-
-
-
Tutorial | Question the data
-
Tutorial | Observe the data
-
-
Model Fairness & Interpretability
-
-
Tutorial | Model fairness metrics
-
Concept | Evaluating group fairness
-
Tutorial | Design for group fairness
-
Concept | Interpretability
-
Tutorial | Interpretability techniques
-
Model Explainability & Reporting
-
Concept | Model transparency
-
Concept | Deployment biases
-
Tutorial | Model explainability
-
Tutorial | Reporting strategies
-
Wrap Up
-
-