What are the key principles for ensuring AI transparency?
Key principles include explainability, accountability, and accessibility of AI systems.
Can you explain what explainability means in this context?
Explainability refers to the ability to understand how an AI system makes decisions, including the logic and data used.
How can organizations implement these principles effectively?
Organizations can implement these principles by adopting clear guidelines, conducting regular audits, and involving stakeholders.
Are there any tools available to help with AI transparency?
Yes, there are several tools like LIME and SHAP that help in interpreting AI model predictions.
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