Interpretable Models in Artificial Intelligence

This educational nugget emphasizes the growing need for transparency and explainability in AI, introduces interpretable models such as decision trees and linear regression, and discusses their application in fields like steel plate production. It highlights the advantages of interpretable models, including their clarity and transparency, while also noting their limitations, such as potentially lower predictive performance. The segment concludes by stressing the importance of understanding interpretable models for building accountable and trustworthy AI systems.