BLUE STAR DONATIONS: How can we ensure that AI is transparent and explainable?

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