What is AI interpretability and why is it important?

What is AI interpretability and why is it important?

AI interpretability refers to the ability to understand and explain how AI models make decisions. It's important because it builds trust, ensures accountability, and helps identify biases in AI systems.

Can you give me an example of an interpretable AI model?

Sure! Decision trees are a great example of interpretable AI models. They visually represent decisions and their possible consequences, making it easy to understand how a decision was reached.

What are the challenges in achieving AI interpretability?

Some challenges include the complexity of models, like deep learning, which can be difficult to interpret, and the trade-off between accuracy and interpretability.

How can we improve AI interpretability?

We can improve AI interpretability by using simpler models, developing better visualization tools, and creating frameworks that provide explanations for complex models.