Super Intelligence definition proposal due (60 days) · Nov 28, 2026 · See what changes
A virtual replica of a physical object, process, or system, kept synchronized with the real-world counterpart via sensors, data feeds, or simulation, used for monitoring, analysis, and optimization. AI is increasingly embedded in digital twins to predict failures, optimize operations, and run 'what if' simulations without risk to the real system. Digital twins are not named in the EU AI Act; an AI system inside one is high-risk only if it fits an Annex III category, for example as a safety component in the management and operation of critical infrastructure such as water, gas, heating or electricity supply. Digital twins that inform real-world decisions need documentation, accuracy checks, and human oversight in any case.
Why this matters for your team
If your team builds or deploys digital twins that inform real-world operational decisions, the AI components embedded in those twins need the same governance as any high-stakes AI system. Data quality in the twin directly determines decision quality in the real world.
A manufacturing company runs a digital twin of its production line, using AI to predict equipment failures 48 hours in advance. The twin's predictions trigger maintenance work orders — making the AI's accuracy and the quality of sensor data governance-critical.