Proof that human oversight in AI systems is real, functioning, and independently verifiable.
GAFAIG is the Global Authority for AI Governance. It verifies that governance processes and meaningful human oversight are implemented, operational, and producing real oversight outcomes across an organization’s AI operations and publishes independently verifiable public trust records.
GAFAIG combines a private verification engine with a public trust layer, adding cryptographic verification to AI governance certification. Certified outcomes are published as independently verifiable public trust records backed by signed proof and validated through GAFAIG’s verification endpoint and public key—without exposing private evidence or internal workflows.
Private Verification Engine
Organizations move through a structured verification process where evidence, findings, governance controls, and human oversight materials are assessed in a controlled private environment.
- Private review workflow
- Structured evidence and findings process
- Deterministic certification path
Public Certification Record
When a record is certified, GAFAIG publishes a public trust record that contains no internal governance data. The only exposed signal is a certified outcome that can be independently verified through a signed payload.
- Public certification outcome
- Signed proof and verification layer
- Registry, badge, widget, and API trust signals
Global Trust Surface
GAFAIG distributes trust through a verification-first architecture. Every public surface—registry pages, APIs, widgets, and badges—derives its trust signal exclusively from the verification endpoint.
- Organizations and AI systems
- Country-level public visibility
- Portable external trust verification
Human oversight should be visible, reviewable, and independently verifiable
As AI systems move into real-world use, governance cannot remain a policy statement or internal claim. It must be externally verifiable. GAFAIG provides a deterministic system where human oversight in AI systems is reviewed privately, certified publicly, and validated through signed proof.
Evidence, findings, and internal review materials are assessed in a controlled verification environment. The public sees only the certified trust outcome, not the private record set behind it.
Certified records are published as independently verifiable public trust records backed by signed proof, verification endpoints, and portable trust surfaces.
Follow a real GAFAIG record from certification to verification
The GAFAIG demo walks through the exact trust flow used to make human oversight independently verifiable. Start with a certified record, open the verification surface, inspect the signed proof, and see how the trust signal works outside the platform.
The four steps that make human oversight in AI systems independently verifiable
GAFAIG converts human oversight into a verifiable proof system. A certified record is published, a signed payload is generated, the payload is verified using a public key, and the result is rendered across external trust surfaces.
Locate the certified record in the public registry.
Retrieve the signed verification payload from the verify endpoint.
Confirm the proof using the published GAFAIG public key.
Display the verified result through a widget, badge, API, or UI.
Current public GAFAIG footprint
These counters are derived from GAFAIG's live public registry and explorer surfaces.