Explainable AI refers to systems and techniques that make AI decision-making visible and understandable. Rather than treating a model's output as the result of an opaque process, XAI reveals the reasoning or features that contributed to a particular output.
In high-stakes industries like finance and healthcare, the ability to explain why a decision was made is not optional. Regulators, auditors, and customers all have legitimate reasons to ask why a loan was declined, why a claim was flagged, or why a particular recommendation was made. XAI provides the visibility needed to answer those questions with confidence.
