What are the main challenges in AI interpretability?

What are the main challenges in AI interpretability?

The main challenges include complexity of models, lack of transparency, and difficulty in understanding decision-making processes.

Can you explain why model complexity is a challenge?

Model complexity makes it hard to trace how inputs are transformed into outputs, leading to opaque decision-making.

What are some methods to improve interpretability?

Methods include using simpler models, feature importance analysis, and visualization techniques to explain decisions.

Are there any regulations regarding AI interpretability?

Yes, some regions are implementing regulations that require AI systems to be explainable, especially in critical areas like healthcare.