Interpretability Trend 2026

Interpretability is the degree to which a human can understand the reasoning behind a model’s decisions. It is used to debug algorithms, ensure fairness, and build trust in AI systems. Data scientists, regulators, and end-users benefit by validating outputs, detecting bias, and making safer, more accountable technology choices.