Address data selection in training processes

Establish AI model training and testing processes

Address data quality in training processes

Address model architecture selection in training processes

Address hyperparameter tuning in training processes

Prevent overfitting and underfitting in training processes

Include validation against defined performance metrics in testing

Include bias and fairness testing in testing processes

Include robustness testing in testing processes

Include boundary condition analysis in testing processes

Document training and testing methodologies