Interpretability
Understanding the internal workings of AI models, including which features influence predictions and why.
Related Concepts
- Explainability: Explore how Explainability relates to Interpretability
- Black Box: Explore how Black Box relates to Interpretability
- Feature Importance: Explore how Feature Importance relates to Interpretability
Why It Matters
Understanding Interpretability is crucial for anyone working with ai ethics & safety. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Black Box
A model whose internal workings are difficult to understand or interpret, common with complex neural networks.
Explainability
The ability to explain how an AI model makes decisions in human-understandable terms, crucial for trust and accountability.
Feature Importance
Measures indicating which features contribute most to model predictions, useful for interpretation and selection.