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Ethics & Safety
Explainable AI (XAI)

Explainable AI (XAI)

[ɪkˈspleɪnəbəl eɪ aɪ]
Ethics & Safety
Last updated: December 9, 2024

Definition

AI systems designed to make their decisions transparent and interpretable to humans.

Detailed Explanation

XAI encompasses methods and frameworks that provide clear explanations for AI system outputs. This includes techniques like LIME, SHAP, attention visualization, and rule extraction, allowing humans to understand and verify AI decisions.

Use Cases

Medical diagnosis explanation, Credit scoring justification, Legal decision support systems

Related Terms

Privacy-Preserving Machine Learning

Techniques and methods that enable machine learning while protecting sensitive data and maintaining individual privacy.

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AI Ethics Guidelines

Frameworks and principles designed to ensure AI systems are developed and deployed responsibly and ethically.

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Transparency Requirements

Legal or ethical obligations to provide clear information about AI system operation and decision-making processes.

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