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.

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