What are the key considerations in developing AI algorithms that are interpretable and explainable to humans?

Interpretable AI algorithms provide insights into how decisions are made, increasing transparency, trust, and accountability. Design considerations include model complexity, feature importance, interpretability techniques, and domain-specific explanations tailored to end-users’ needs.