Every law. Every regulation.
While AI delivers unprecedented reach and capacity to any user, @Human begins from the perspective that humanity's laws and regulations must be foundational when seeking any outcome or goal.
If a law or regulation applies to what you are building, @Human gives you a place to express it, assess against it and enforce it.
That is not a feature we bolted on. It is the order in which an @Human project is built.
Capability comes second. The rule of law comes first. The principle is simple: every law, every regulation, expressed, assessed and enforced inside the same project as the application itself.
- What the law requiresBuilders state the legal and regulatory obligations that apply to the application.
- What could go wrongThey describe what could go wrong for the people it touches.
- How risks are controlledThey record how each of those risks is prevented or reduced.
- Then, capabilityOnly then does the application reach a single end-user.
AI is young, and it must be taught
Artificial intelligence is extraordinarily capable and extraordinarily new. Everything it knows about our boundaries, it learns from what we show it and from the systems we place around it.
A newcomer of this power needs to be introduced to our rules deliberately, clearly and early.
The historian Yuval Noah Harari has gone as far as to suggest that AI could be understood as a kind of alien invasion: an intelligence that did not grow up among us, arriving faster than our institutions can adapt.
Rooted in fundamental rights. Compulsory in every project.
One assessment is never optional. A Fundamental Rights Impact Assessment (FRIA) is compulsory in every @Human project's Risk Registry. Whatever else a project does, it must first consider how it could affect people's fundamental rights. This is the built-in framework every project starts from.
Who could be affected
Who needs particular care
Drawn from the EU Charter of Fundamental Rights, the ECHR, GDPR and the EU AI Act, as built into @Human. Each scenario also records the triggers and vectors of harm, and the benefits at stake.
The Risk Registry: where law becomes structure
Every @Human project has a Risk Registry, designed to hold an unlimited number of regulatory frameworks and risk scenarios. @Human doesn't guess in advance which laws you will face. It lets you add the frameworks that actually apply to you.
Risk frameworks
The standards a project is assessed against. @Human provides built-in frameworks, and teams create their own custom frameworks whenever their context calls for it.
Risk scenarios
In plain language, what an application could do to people: the harms that could follow, who would be affected, and the controls that prevent or reduce them. Each scenario is assessed against every framework the project carries.
Frameworks are data, not code. There is no ceiling.
Adding a framework for a new regulation
A recruitment platform uses AI to help match candidates and employers. Under the EU AI Act, AI used in hiring is classed as high-risk. Here is how the team brings that reality into @Human.
- Start with fundamental rightsThe compulsory FRIA sets out how automated matching could affect equal treatment, privacy and access to work.
- Add the frameworks that applySelect the relevant built-in frameworks and create a custom one, such as a Fair Recruitment framework for transparency, human review and non-discrimination.
- Write the scenariosA qualified candidate filtered out unfairly. A decision made without a human in the loop. Personal data used beyond its stated purpose.
- Assess and controlEvery scenario is assessed against every framework, and the controls that address it are recorded alongside it.
- Carry it forwardWhen the law changes or the platform enters a new market, add or update a framework. Scenarios are reassessed; nothing is rebuilt.
The same pattern works for any law, in any sector, in any country.
From registry to running system
A risk assessment that sits in a folder protects no one. In @Human, the Risk Registry is one part of a governed project, and the obligations it records are carried through to the application people actually use.
Together these turn legal obligations into working constraints. The law is not only documented in @Human; it is designed in, checked before release and watched in operation.
Your software, your obligations, your control
Planet Crust is a software provider, not a SaaS provider. @Human is software that organisations deploy and run themselves, which means the frameworks in your Risk Registry reflect your obligations, in your jurisdictions, under your control.
Organisations across many industries each operate under their own mix of laws and regulations.
Teach AI well
The first lessons we give any new intelligence will shape everything that follows. @Human makes sure the first lesson is the most important one: that every outcome and every goal is pursued within the laws and regulations humanity has chosen for itself.
Whatever you are building and wherever the law requires care, bring it into the Risk Registry and build from there.
Every law. Every regulation.
Built in from the start.