What is machine learning transparency?

What is machine learning transparency?

Machine learning transparency refers to the clarity and openness of ML models, making their processes understandable.

Why is transparency important in machine learning?

Transparency is crucial for trust, accountability, and ethical use of AI, allowing users to understand decisions made by models.

How can we achieve transparency in AI models?

We can achieve transparency through techniques like model interpretability, clear documentation, and open-source practices.

Are there any regulations regarding AI transparency?

Yes, various regulations are emerging globally, focusing on ethical AI use and requiring transparency in AI systems.

Can you give examples of transparent AI systems?

Examples include decision trees, linear regression models, and tools like LIME and SHAP that explain complex models.