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v2026.1714 entries · CC-BY 4.0

Working group Track A

Generative AI use and disclosure

The Generative AI use and disclosure working group develops vocabulary for human-AI collaboration on research outputs and the disclosure that publishers, funders and institutions now expect. It harmonises author-facing statements, editorial policies and machine-readable metadata so that AI involvement — from grammar polishing to model-assisted analysis — is documented consistently. The group works across CRediT, journal policy and funder guidance to provide a single, defensible disclosure stack that researchers can apply once and reuse everywhere.

12
Community seats
Plus chair and co-chair
12
Seats open
0 of 12 filled
Forming
Cadence
Monthly virtual sessions reflecting the pace of model releases; two release windows per year.
2026
Formed
2026 charter round

Charter and scope

What this working group covers

The Generative AI use and disclosure working group develops vocabulary for human-AI collaboration on research outputs and the disclosure that publishers, funders and institutions now expect. It harmonises author-facing statements, editorial policies and machine-readable metadata so that AI involvement — from grammar polishing to model-assisted analysis — is documented consistently. The group works across CRediT, journal policy and funder guidance to provide a single, defensible disclosure stack that researchers can apply once and reuse everywhere.

  • Disclosure thresholds: what level of AI involvement triggers a statement
  • Author-versus-tool distinction and the non-authorship of LLMs
  • Categorisation of AI use (writing assistance, analysis, code, image generation)
  • Machine-readable expression of disclosure (JATS, JSON-LD, Crossref)
  • Alignment with COPE, ICMJE, WAME and major publisher policies
  • Funder application disclosure language (NIH, NSF, UKRI, ERC)
  • Detection limits and the futility of post-hoc forensic claims

Composition

Current composition

Chair

To be appointed

Open call. Two-year term, renewable once.

Apply for chair →

Co-chair

Seat open

Optional second chair, prioritised for regional or sector balance.

Apply for co-chair →

Community seats

12 of 12 seats open

Seats are allocated against a published rubric covering domain expertise, institutional diversity, regional balance, and an explicit slot for early-career researchers.

Apply for a community seat →

Deliverables

Planned and delivered deliverables

  1. AI Disclosure Statement v1 — a canonical, JATS-embeddable statement block
  2. Cross-walk between COPE, ICMJE, WAME and Crossref disclosure fields
  3. Author-facing guidance at /for-authors/ai-disclosure (living document)
  4. Reviewer guidance for handling undisclosed AI use in submissions
  5. Decision tree: "Is this disclosable?" for authors and editors

Recent activity

Working-group cadence and milestones

Illustrative working-group cadence for the 2026 forming round. Substantive deliverables and meeting minutes will be linked here as the group convenes.

  • 2026-05-15 · Milestone

    Working group forming — call for chair candidates

    Open call for chair and co-chair of the Generative AI use and disclosure working group. Apply by 2026-06-30.

  • 2026-04-22 · Release

    Domain scope confirmed for v2026.2

    Scope of the Generative AI use and disclosure domain confirmed against the v2026.2 dictionary release plan.

  • 2026-03-10 · Added

    Forming round announced

    CASRAI announced the 2026 forming round for all 20 working groups, with seat allocations and review rubric published.

Open consultations

Currently in public comment

Currently none open. Subscribe via /get-involved/comment for future calls.

External bodies

Standards and organisations we work with

Going deeper on CASRAI

Related CASRAI guidance

Adjacent working groups

Related working groups

How to join

Apply to a seat on this working group

All seats on this working group are open for the 2026 forming round. The application is short — name, institution, ORCID iD (optional), the seat you are applying for, and a paragraph on why this domain. Decisions are returned within four weeks of the close of the open-call window.

FAQ

Frequently asked

What does this working group do?

The Generative AI use and disclosure working group is the community body that drafts, reviews and ratifies dictionary entries for the Generative AI use and disclosure domain. It maintains scope, cross-walks to adjacent standards and the cadence of public review. Its remit is summarised on this page; the canonical terms it stewards live at /dictionary/domain/genai-disclosure.

Who can apply to join?

Working-group membership is open to qualified practitioners — researchers, research-office staff, librarians, publishers, repository managers, integrity officers, CRIS administrators, regulators and funders. Institutional membership is not required. The qualification test is competence and time, not affiliation. Apply via the working-group application form.

What is the time commitment?

Cadence: Monthly virtual sessions reflecting the pace of model releases; two release windows per year.. Time commitment averages four hours per quarter for an active member, more for a chair. Asynchronous review happens between meetings via email. Chairs are recognised on the editorial masthead and serve a two-year term, renewable once.

How are seats allocated?

Each working group has 12 community seats plus a chair and (optionally) a co-chair. Seats are filled by an open call reviewed against a published rubric: domain expertise, institutional diversity, regional balance, and an explicit slot for early-career researchers. All seats are currently open for the 2026 forming round — see how to apply.

Can my institution sponsor a seat?

Institutional sponsorship is welcome but is not a route to a guaranteed seat. Sponsors support meeting infrastructure, public-comment publication and contributor honoraria; they receive named acknowledgement on the working-group page and in release notes. Sponsorship enquiries go to [email protected]. Seat selection remains on merit.

Adopted by research universities worldwide

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