Model Agnosticism Trend 2026

Model agnosticism refers to a machine learning approach where techniques work with any predictive model, regardless of its internal structure. It is used to explain predictions, test robustness, or build interpretable systems. Data scientists, auditors, and business stakeholders benefit by gaining trust and clarity without being locked into a specific algorithm.