The Fair AI Attribution Project (FAIA) (faia.liccium.com)

The FAIR AI Attribution (FAIA) project, led by Liccium with Leiden University and the GO FAIR Foundation, introduces an open framework and a Liccium plugin to disclose when and how AI contributes to digital content. Motivated by rising AI opacity and new regulation such as the EU AI Act (Article 50), FAIA provides a practical, interoperable way for creators, publishers and researchers to flag AI-assisted or AI-generated material during the declaration and signing workflow. A short video accompanying the launch frames the problem and shows how FAIA’s approach makes AI involvement visible and verifiable. Technically, FAIA encodes machine-readable attribution flags that are cryptographically linked to the content via its ISCC code so the metadata “travels” with the asset and can be validated across systems. That portability supports provenance, reproducibility and compliance with disclosure requirements, and lets platforms or repositories filter and verify content at any lifecycle stage. Initially focused on academic publishing and trade books, FAIA aims to reduce misrepresentation risks, bolster trust in human–AI collaboration, and provide a metadata layer for long-term accountability across text, image, audio and video workflows.