Training Data Representative
errortraining_data_representative
Data used as input for AI systems is relevant, sufficient and representative, and algorithms are trained and validated on accurate, comprehensive and sufficiently broad datasets.
Formula
G(Deploy → data_representative) Why it matters
ESMA ¶12: firms should ensure the data used as input is relevant, sufficient and representative, and that algorithms are trained and validated on accurate and comprehensive datasets.
Examples
passes see rationale
fails the required control/record is absent
Use it
ponens policies add training_data_representative --into ./trace.json
ponens trace check ./trace.json