EU AI Act

Decision modelling allows the use of AI models to be framed with deterministic controls to prevent abuse. Such a framework directly supports many aspects of the recent revision of EU AI Act of July 27 2026, especially:

• Article 5 (Prohibited Practices). A DMN decision table can identify prohibited purposes, data or operating contexts and prevent the AI model from being invoked or its output from being used in a specific context.
• Article 6 (Risk Classification). DMN can encode the classification questions concerning intended purpose, affected sector, decision influence and Annex III use cases, producing a consistent and reviewable classification. The wrapper can also prevent a model approved for a low-risk purpose from being redeployed in a high-risk context without reassessment.
• Article 14 (Human Oversight). DMN can provide a framework which enables the use of AI models such that appropriately skilled people can supervise its operation and prevent or minimise risks to health, safety and fundamental rights. Human overseers must be able to understand the system’s limitations, interpret or disregard its output, override decisions and stop the system when necessary.
• Article 50 (Disclosure Transparency). DMN can determine which disclosure obligation applies given the user, channel, purpose and content type, then require the relevant notice, label or machine-readable marking before release.
• Article 86 (Right to Explanation). The DMN models can provide a clear and meaningful explanation of both the AI system’s role in the decision procedure (decisive, advisory or one input among humans) and the main elements of the resulting decision providing a case-level trace that makes it possible to reconstruct any instance of an actual decision rather than giving only a generic description of how the system normally works.