What are the implications of using opaque AI models?

What are the implications of using opaque AI models?

Opaque AI models, often referred to as black-box models, can lead to challenges in transparency and accountability.

Can you explain why transparency is important in AI?

Transparency in AI is crucial for trust, as it allows users to understand how decisions are made and to identify biases.

What are some examples of opaque models?

Examples include deep learning models like neural networks, which can be difficult to interpret compared to simpler models.

How can we improve the transparency of these models?

Techniques like model distillation, feature visualization, and using interpretable models can enhance transparency.