What question did this study set out to answer?

The research aims to define a standard for enforcing runtime consent in AI systems processing personal data.

April 19, 2026Open Access

QODIQA: Deterministic Runtime Consent Enforcement for Artificial Intelligence Systems

Key Points

The research aims to define a standard for enforcing runtime consent in AI systems processing personal data.
Defined an open technical standard for deterministic consent enforcement.
Developed supporting normative documents including core standards and test suites.
Established a certification framework for compliance and auditing.
QODIQA fills the enforcement gap in current governance frameworks regarding personal data consent.
Introduced 32 normative documents to guide implementation and compliance for AI systems.
Ensured no AI system can operate on personal data without verifiable consent at runtime.

Abstract

QODIQA is an open technical standard for deterministic runtime consent enforcement in artificial intelligence systems. Existing governance frameworks: GDPR, EU AI Act, NIST AI RMF, ISO/IEC 42001, define consent obligations but do not enforce consent at the execution boundary. QODIQA defines and occupies that architectural gap. Under the standard, no AI system can execute on personal data without verifiable, scoped, cryptographically anchored consent at runtime. The standard corpus comprises 32 normative documents including a core standard, reference architecture, conformance test suite, certification framework, and audit model. Released April 2026 as an open, vendor-neutral, jurisdiction-agnostic specification.

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