BLUE STAR DONATIONS: How can we ensure that AI is transparent and explainable?
8 months ago
19
How can we ensure that AI is transparent and explainable? Ensuring that AI is transparent and explainable involves several key steps:
Interpretable Models: Use interpretable models and understand how different features influence the model’s decisions.
Understanding Changes: Understand how small changes in input data can affect the model’s decisions.
Explaining Decisions: Explain the model’s decisions in a way that is easy for humans to understand.
Transparency Measures: Implement measures such as interpretability and explainability, communication, auditability, traceability, information provision, record-keeping, data governance and management, and documentation
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