Building Trust for
the Future of AI
Sanctity is building a living record of human values, perspectives and judgment to help ensure future AI reflects the people it serves.
Trust is built one perspective at a time.
Every answer contributes to a living record of human values that helps shape responsible AI.
Who should own the copyright for AI-generated creative works?
Building Human Judgment Infrastructure for AI.
Why does AI need human oversight?
AI now makes decisions with human consequences: who gets hired, whose claim is denied. These are value judgements, and values were never in the training data.
Why AI governance tools are not enough
Governance tools monitor and audit AI, but cannot supply the judgement it's missing. A dashboard records what happened. It cannot decide what should have happened.
What is Sanctity?
Sanctity is the trust infrastructure for AI, built from human judgement. It collects real answers to real value questions and turns them into oversight your systems can act on.
How human judgement becomes infrastructure.
Sanctity collects human judgement and turns it into oversight your AI can act on.
Collect.
Real people answer real value dilemmas: named questions about fairness, honesty, and harm. Every response is a recorded decision by an identifiable human, not synthetic data or scraped text. That provenance is what makes the record trustworthy.
Keeping a person in charge is becoming a global expectation.
Around the world, rules are converging on one simple idea. When AI makes decisions that affect people, someone must be able to understand, question, and overturn them.
“High-risk AI systems shall be designed and developed in such a way, including with appropriate human-machine interface tools, that they can be effectively overseen by natural persons during the period in which they are in use.”
What it says
The most consequential AI systems must be built so a real person can supervise them, not just switch them on and trust the output.
Why it matters
It turns human oversight from a nice idea into a design requirement, binding for high impact systems and increasingly echoed beyond Europe.
What it means for you
The systems you rely on should keep a human accountable, able to catch mistakes and step in before they reach you.
Questions,
answered.
AI that reflects the values of the people it affects, and stays accountable to them. Trust comes from representation and oversight, not marketing.
Models have no values of their own; they inherit ours from data. Made explicit, those values can be examined, debated, and improved.
The connective layer between raw technology and trustworthy AI, a living record of how people reason, decide, and weigh trade-offs in context.
When an AI decision falls below a confidence threshold, HumanChain routes it to qualified human reviewers and returns an accountable decision.
Because automated decisions affect real lives. Meaningful oversight keeps a person accountable, able to understand, question, and override the system.
A provision requiring that high-risk AI systems be designed for effective human oversight throughout their use, making human judgment a legal requirement rather than an option.
Trustworthy AI begins with people.
Every perspective you add becomes part of a shared record of what we value.