AI Transparency Labels
Every report, advisory, and post we publish can carry an AI Transparency Label — a small structured disclosure that documents how AI tools shaped the artifact. Labels are issued at the moment of publication and pinned at a stable URL on this site, so any reader can audit our disclosure independently.
What a label discloses
- Involvement level — where on a five-rung ladder the artifact sits, from human-only to AI-generated, unreviewed.
- What AI touched — research, structure, prose, figures, code, translation.
- Models used — explicit model names and versions.
- Human review — none, spot-check, full review, or SME sign-off.
- Sources — human SME, public web, internal research, client data.
- Issuer, date, optional artifact hash — to anchor the label to one specific version of the artifact.
Why we publish this
Disclosure is cheap to claim and easy to dilute. Publishing a fixed rubric, a stable URL per artifact, and a public verification page makes the claim auditable. We want our readers to be able to challenge it.
Verify a label
Open cics.ch/ai-label/<id> for any label ID printed on or linked from an artifact. The page renders the full disclosure for that specific artifact.
Generate a new label
Vector legend
Each label carries a compact canonical string (AITL vector) that encodes every dimension deterministically. Read the vector legend →