The mission.
AI Human Proof is an evidence-led reference for organisations deploying AI. It translates regulations and governance frameworks into practical controls, evidence requirements, platform assessments and implementation guidance — the operational layer between what a rule requires and the proof that you have implemented it.
Establishing AI Governance as Standard Practice
Every profession that operates with significant power over people's lives — medicine, law, finance, engineering — has developed standards of practice that define the minimum bar of competency and accountability. Those standards exist not because practitioners are malicious, but because the complexity of the work and the severity of potential harms make unregulated practice unacceptable.
AI deployment is now in that category. Systems that determine who gets hired, who gets credit, what medical information is prioritised, which content is amplified — these are not neutral tools. They carry the same consequential authority that once belonged exclusively to human professionals with defined obligations.
AI Human Proof exists to make that transition operational. It sets out what responsible AI deployment requires in specific, checkable terms, and puts it in the hands of the people who have to implement it — not as principles to agree with, but as controls you can evidence.
How the knowledge is built
Primary Sources Only
Every article in the Hub is built from primary sources: regulatory texts, official model documentation, peer-reviewed research, and verified case study evidence. Secondary sources and speculation are not cited as evidence.
Rewritten, Not Aggregated
The Hub does not summarise other people's articles. It works from the source material — the regulation, the standard, the vendor's own documentation — and restructures it around the decisions a deploying organisation actually has to make.
Sources Always Cited
Every claim that depends on an external source is cited. Every article lists its primary sources so readers can verify the underlying material independently.
Operational Framing
AI governance frameworks describe what should be done. The Hub translates that into what organisations actually need to build — specific processes, accountable roles, measurable metrics, and tested incident response procedures.
How this is funded
Everything here is produced under a stated editorial standard with a dated, clause-level verification record. The commercial side is set out below, because you should have it before you weigh anything written here.
The Hub is published without charge and without a mailing list. One thing here is commercial: the readiness assessment ends with a handoff to a paid pre-audit bundle delivered by 3rd4 Public Relations — templates, an evidence register and a remediation playbook. That handoff is the funding model. No advertising, no sponsored content, no paid placement.
The conflict this creates
This site audits the governance controls of commercial AI platforms, and it sells preparation services to the organisations deploying them. A reader is entitled to ask whether the audits are shaped by who pays. They are not. AI Human Proof takes no money from the vendors it audits. As at 31 July 2026, no AI vendor covered in the Hub has ever paid 3rd4 Public Relations, sponsored or been given sight of anything published here, or been a client. Should that ever change, the relationship will be disclosed in the article concerned rather than buried on this page.
What you can check without taking our word for it: every factual claim cites a primary source, and the assessment publishes its full methodology — the questions, the weights and the clause mappings are open, so a disputed score can be traced to the rule that produced it. If something here reads as though it were written to sell you something, say so. Corrections are published with the date of the change.
Publisher and editorial oversight
AI Human Proof is published by 3rd4 Public Relations, a communications practice established in 2004 and incorporated as its present company in 2008. The Standard, Knowledge Hub and Readiness Assessment are overseen by Julius Rollins, Founder and Editor of AI Human Proof — an AI Governance Architect specialising in AI systems governance.
Each article identifies its editor and the primary sources used, making the analysis attributable, traceable and open to correction.
Questions, corrections or complaints about published content can be sent to info@aihumanproof.com.
Start with the standard.
The /standard page is the canonical definition of AI Human Proof — what it means, what it requires, and why it matters.