Why is transparency vital in AI?

How It Works:

Transparency involves exposing model choices, training data characteristics, and decision-making processes through documentation, explainers, and open logs.

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Key Benefits:

• Builds user and stakeholder trust
• Eases debugging and compliance
• Facilitates community feedback and improvements

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Real-World Use Cases:

• Open model fact sheets (e.g., Model Cards)
• Audit logs in regulated deployments