FAIA: FAIR AI Attribution White Paper (2026)¶
Reference
Citation: Le Dévédec, S. E., Hettne, K., Gambardella, A., Schultes, E. and Posth, S. "FAIA - FAIR AI Attribution White Paper", version 0.9, project deliverable, Zenodo, 17 June 2026. Type: report (pre-publication white paper). Link: doi:10.5281/zenodo.20083769; framework site faia.liccium.com.
What it is¶
A framework for machine-readable, persistent, and verifiable disclosure of AI involvement in digital content, developed by Liccium with Leiden University and the GO FAIR Foundation. It defines attribution flags (human-created, AI-assisted, AI-generated), activity codes for the AI's role in the content lifecycle, and optional identification of the AI system and version, declared in JSON-LD and bound to the content through ISCC fingerprints (ISO 24138:2024).
Role in the record¶
- Grounds BP07: a machine-readable vocabulary for stating what a human did and what an AI system did (bp7-a2), alongside CRediT for the byline. A version 0.9 white paper from a company-led consortium with one reference implementation; cited as an emerging instance, not an established standard.
Atom-level for/against detail and quotes are in the provenance data (assets/provenance.yml), keyed by practice atom.