Statistical analysis of training data to detect under-represented groups.

Model behavior tests to spot unintended disparate impact.

Generate easy-to-read model summaries.

Embed explainability into model development from start to end

Benchmarking ML models against national and international standards on profiling and automated decision-making.

Conduct process compliance evaluations.

Define roles, responsibilities, and develop sign-off checkpoints.

Provide policy templates and governance-committee workshops to maintain accountability.