What are the challenges of explainable AI?

What are the main challenges of explainable AI?

The main challenges include complexity of models, lack of standardization, and the trade-off between accuracy and interpretability.

Can you explain why model complexity is a challenge?

Model complexity makes it difficult to understand how decisions are made, especially in deep learning models that act as black boxes.

What do you mean by lack of standardization?

Lack of standardization refers to the absence of universally accepted methods for explaining AI decisions, leading to inconsistencies.

Are there any solutions to these challenges?

Yes, solutions include developing simpler models, creating standardized metrics for explanations, and enhancing user interfaces for better understanding.