Articles 9, 13, and 15 require testing for failure modes, robustness across varied inputs, and documented performance limitations. contradish tests 16 phrasing variants per policy area and exports a PDF/JSON report of every failure found.

Superseded by EO 14179 and no longer in force. OMB M-25-21 (below) remains the operative federal testing baseline.

Requires pre-deployment testing and ongoing monitoring for high-impact federal AI systems. contradish covers both: a pre-launch phrasing-robustness suite, plus timestamped re-runs after deployment.

Requires reproducible pre-market validation and post-market drift monitoring. contradish's reports are reproducible and timestamped, exportable for 510(k)/De Novo submissions and re-run to detect drift after updates.

Clause 9.1 requires documented, repeatable performance evaluation; Clause 6.1 requires a documented AI risk register. contradish's structured evaluation results and failure inventory feed both directly.

Safety or policy-adherence claims about an AI product need substantiation. contradish's test evidence is that substantiation.

Insurers are expected to test for errors, drift, and unfair discrimination before deployment and on an ongoing basis, with documented governance. contradish's pre-launch and recurring reports plug directly into that documentation.