F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skill
F(AI)2R is FAIR research with AI in the loop, twice: an AI-assisted authoring pass and a machine-readable audit pass over every artefact. AI systems now draft, refactor, and verify research artefacts, yet their contributions are rarely recorded in a form a later human or machine can audit. Building on the original F(AI)2R experiment, we generalize its provenance model beyond scholarly writing into aiprov, a PROV-O extension covering any AI-in-the-loop artefact, and we package the method as an executable skill that an AI agent operates itself: setup asks the human operator for their ORCID ID, resolves their identity from the public registry, and scaffolds continuous integration that gates ...
| Authors | Florian Krebs |
|---|---|
| Primary category | cs.DL |
| Published | 28 July 2026 |
| Last updated at source | 7 August 2026 |
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