AIRVS — The Recommendation Provenance Standard  ·  v1.0.0  ·  DOI: 10.5281/zenodo.20391984

About

An open standard for verifying AI investment recommendations.

Mission

AIRVS reduces the information asymmetry around AI-generated investment opinions. We publish a shared vocabulary and an open methodology so that any AI recommendation can be checked — in public, with provenance.

Why open

The standard and its data are released under CC BY 4.0, versioned with a DOI (10.5281/zenodo.20391984), and developed in the open at github.com/emceeKim/AI-RVS. A standard you cannot inspect is not a standard.

Maintainer

Maintained by MC AI Labs. Author of record: Mincheol Kim (ORCID on file; mckim890@gmail.com). Publishing jurisdiction: Republic of Korea — disclosed openly so readers can assess jurisdiction-specific legal context. The methodology itself is jurisdiction-neutral.

Conflict of interest

MC AI Labs also operates ETF Insight, an AI-assisted ETF research site and an independent adopter of AIRVS. Its recommendations are scored on the same public bar as every other provider — no special treatment, disclosed up front. AIRVS is for L1 review (others' recommendations); self-grading (L2) is out of scope.

Contact

Email · GitHub Issues (peer-review / defect / clarification / rebuttal) · X / Twitter.