Explainability Trend 2026

Explainability refers to the degree an AI system’s decisions can be understood by humans. It is used to audit models, ensure compliance, and build trust. Data scientists, regulators, and end-users benefit—gaining clarity on why predictions occur, reducing bias, and enabling safer deployment of machine learning in critical fields like healthcare or finance.