In the realm of artificial intelligence (AI), two terms frequently surface, often used interchangeably yet distinct in their nuances: interpretability and explainability. These concepts serve as the bridge connecting human comprehension and machine decision-making, ensuring that AI’s logic isn’t locked away in an impenetrable black box. What is Interpretability? Imagine you’re a detective, and each AI model is a suspect with an alibi. Interpretability is the clarity of that alibi. It’s about how easily one can comprehend why the model made a particular decision. This does not necessarily mean knowing the exact mathematical operations (though that