Explainability

Explainability refers to the ability to understand and interpret the decisions made by artificial intelligence and machine learning models, providing insights into their inner workings and enabling trust in their outputs. As AI becomes increasingly pervasive in various industries, explainability is crucial for the tech community to develop transparent and accountable AI systems that can be relied upon to make informed decisions.