Technical Terms Key technical terms defined: automation bias, concept drift, data drift, data lineage, data poisoning, demographic parity, differential privacy, embedding, F1 score, feature engineering, feature store, federated learning, fine-tuning, GPAI, ground truth, hallucination, hyperparameter, inference, LLM, model drift, model extraction, overfitting, perturbation testing, Population Stability Index (PSI), precision, proxy variable, RAG, recall, robustness, and rollback. Key outputs

• Technical term definitions with section references