Use case · AI governance and the UAE AI Charter

An AI register that checks itself.

Eight AI systems, six principles of the UAE Charter for the Development and Use of AI, and a register that shows exactly where each system meets the Charter and where it falls short, with the evidence. Change a rule, and everything is checked again.

Objective 8 of the UAE National AI Strategy 2031

Illustrative demonstration with fictional systems. The principles are those of the UAE AI Charter (July 2024); the rules that make them checkable are Samture's illustration.

Read the film

A new circular arrives: every bias test must be less than six months old. Which of your AI systems fall short on Monday? Today, that means weeks in spreadsheets. Each system owner, or its supplier, keeps the facts current, linked to their source. And each Charter principle becomes a check your auditors can run again. Tighten the rule, and every system is checked again in seconds. The new gap appears, with its evidence. An answer for the auditor the same day: which system, which rule, which evidence, and who must act.

Why governance stays on paper

A register that is read once a year cannot keep up with systems that change every month.

Most AI registers are spreadsheets and policies. They describe intentions, and they are checked by hand, if at all. The moment a model is retrained, a dataset is replaced or a rule is tightened, the register is out of date and nobody can say where the gaps are.

Principles

Written as intentions

Human oversight, transparency, privacy and accountability are clear as words, and hard to check as words.

Evidence

Scattered across teams

Who reviews the outcome, where the training data came from, when bias was last tested: the answers exist, but not in one place.

Change

Every update starts over

When a rule is tightened, someone has to go through every system again. So it rarely happens.

What the foundation does

Each principle becomes a rule that runs.

Each principle of the Charter is written once as a rule in an open standard. The register holds the facts about every system and its data, and the platform checks all of them against all rules in one pass. Every gap comes with what was checked and what is missing. Tighten a rule, and the whole register is checked again in seconds.

The way in is the same as for every Samture engagement: a structural assessment first, then a demonstrator on your own processes and data, then a roadmap. Every engagement has one accountable Samture lead, from the first assessment to production.

Questions

What people ask about this.

Which principles are covered?

The demonstration uses six of the twelve principles of the UAE Charter for the Development and Use of AI: human oversight, algorithmic bias, transparency, data privacy, governance and accountability, and safety. Others can be added the same way.

Is this an official interpretation of the Charter?

No. The principles are the Charter's own; how a principle becomes a checkable rule is a design choice that each organisation makes with its legal and risk teams. The foundation makes that choice explicit and testable.

Does it replace a GRC tool?

It complements one. A GRC tool manages workflows and sign-offs; the foundation holds the facts and checks them continuously, so the workflow starts from evidence instead of a questionnaire.

How does this relate to the UAE National AI Strategy?

Objective 8 asks for strong governance and effective regulation, and governance only becomes real when it can be shown on actual systems. A register that checks itself is such an example.

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