Testing

In Testing, teams evaluate the system against representative data and scenarios that reflect real use and plausible misuse. Subgroup analyses check fairness and inclusiveness. Stress, load, and adversarial trials probe robustness and safety. Privacy controls are exercised through data handling tests and audits of minimization and retention. Explanations are tried with intended audiences to confirm they are faithful and useful. Human oversight paths are rehearsed so reviewers can intervene quickly when risk rises. Each result maps to pre-set indicators and pass or remediate thresholds. Defects and residual risks are logged with owners and timelines. A test report, model card snapshot, and updated risk register provide the evidence needed to decide whether the system is ready for deployment.

• Lifecycle
• Read the Paper