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EU AI Pact Readiness

IINTS includes a research-only MDMP governance checklist inspired by the EU AI Pact and high-risk AI Act readiness themes.

It is not legal advice, not a conformity assessment, and not medical-device certification. It is a stricter internal checklist so IINTS evidence bundles do not overclaim.

Core AI Pact Themes

The readiness review checks that a project records evidence for:

  • AI governance strategy;
  • high-risk system mapping;
  • AI literacy.

High-Risk Readiness Themes

For stricter research bundles, the review also checks:

  • risk management;
  • data governance and provenance;
  • technical documentation;
  • logging and traceability;
  • human oversight;
  • transparency and limitations;
  • accuracy, robustness, and cybersecurity;
  • post-deployment monitoring.

Example

from iints.mdmp.eu_ai_pact import review_eu_ai_pact_readiness

result = review_eu_ai_pact_readiness({
    "mdmp_grade": "research_grade",
    "compliance_score": 0.99,
    "dataset_fingerprint_sha256": "...",
    "contract_fingerprint_sha256": "...",
    "row_count": 288,
    "governance": {
        "ai_governance_strategy": True,
        "high_risk_mapping": True,
        "ai_literacy": True,
        "risk_management": True,
        "data_governance_and_provenance": True,
        "technical_documentation": True,
        "logging_and_traceability": True,
        "human_oversight": True,
        "transparency_and_limitations": True,
        "accuracy_robustness_cybersecurity": True,
        "post_deployment_monitoring": True,
    },
})

print(result.status)

Interpretation

  • research_ready: the evidence bundle is complete enough for internal research review.
  • needs_review: no hard blocker, but the bundle still needs explanation or cleanup.
  • blocked: do not use the bundle for public AI claims until the missing controls are resolved.

Official Sources