What Is Explainable AI?

Explainable AI allows users to understand how an AI model makes predictions or comes to results. Learn more about what explainable AI is, how to apply popular explainable AI techniques (such as LIME, Grad-CAM, and occlusion sensitivity), and why explainable AI is important when selecting an AI model.

Explainable AI is particularly useful when using models that are not inherently explainable, such as deep learning models. Explainable AI helps ensure that an AI model is functioning as intended and is very relevant in safety-critical industries, where AI models must be highly reliable and trustworthy.

Check out all of our videos about using AI with MATLAB and Simulink:    • AI with MATLAB and Simulink  

Learn more:
Deep Learning Visualization Methods: https://bit.ly/3SBy5I7
What Is Interpretability?: https://bit.ly/3lWbNj7
What Is Explainable AI?: https://bit.ly/41BZ4pW
Explainable AI (XAI): Are We There Yet?: https://bit.ly/4bs6LUm
Explainable AI (XAI): Implement Explainability in Your Work: https://bit.ly/48PmtqX

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