International Guideline for AI Involvement Disclosure in Scholarly Works (ADT-1 Standard)

 1. Purpose and Scope

This guideline establishes an international standard, the AI-Generated Content Disclosure Tag (ADT-1), to ensure transparent, consistent, and machine-readable documentation of the role of artificial intelligence (AI) systems in the creation of scholarly, scientific, educational, and research-based works.
This standard applies to all academic publications, including journal articles, conference papers, theses, dissertations, books, research reports, and digital scholarly outputs.

 2. Principles of Disclosure

1. Transparency: Authors must clearly disclose any involvement of AI systems in the conception, development, writing, editing, or sourcing of scholarly content.
2. Accountability: Human authors bear full responsibility for the accuracy, integrity, and ethical compliance of all materials produced with AI assistance.
3. Traceability: AI-assisted contributions must be identifiable through a standardized, machine-readable tag to facilitate academic integrity checks, bibliometric studies, and research analysis.

 3. The ADT-1 Tag Structure

The disclosure tag shall appear in the following format:

{AIGEN: X, Y, Z}

Where AIGEN denotes the AI involvement disclosure standard and each letter represents a specific category of AI assistance.

 3.1. Placement

The ADT-1 tag must appear:

 Immediately below the title of the work, or
 Within the “Author Disclosure” section where required by specific publication formats.

The tag must remain identical in print, PDF, and digital versions of the work.

 3.2. Machine Readability

The tag format is intentionally minimal and may be extracted using the universal expression:

\{AIGEN:[^}]+\}

 4. ADT-1 Category Codes

Code, Description
---------------------------------------
S : AI used for structural planning: outline creation, chapter design, taxonomy, classification, or content framework.
C : AI used for content generation: drafting text, generating explanations, producing examples, or developing narrative segments.
E : AI used for editing: linguistic refinement, stylistic improvement, rewriting, reformatting, or error correction.
H : Human review conducted: a human author has thoroughly evaluated, corrected, or validated all AI-generated or AI-edited material.
R : Use of AI-tagged external sources: one or more references cited in the work contain an AI involvement tag from prior publications.

Multiple codes must be separated by commas.

 5. Examples of Standard-Compliant Tags

 5.1. Minimal AI involvement

{AIGEN: E}

AI was used exclusively for editing; no human review or AI-generated content was involved.

 5.2. Full-cycle AI involvement with human oversight

{AIGEN: S, C, E, H}

AI contributed to structure, content creation, and editing, and all outcomes were reviewed by human authors.

 5.3. AI involvement including secondary AI-tagged sources

{AIGEN: S, C, E, H, R}

All stages involved AI assistance, human review was performed, and AI-tagged materials were cited.

 6. Ethical and Academic Responsibilities

1. Authors must ensure that the use of AI complies with institutional, legal, and disciplinary standards.
2. AI systems may not be listed as authors under this guideline.
3. Human authors remain solely accountable for originality, factual accuracy, interpretations, and proper attribution.
4. Omission or falsification of AI involvement constitutes academic misconduct.

 7. Adoption and Implementation

Institutions, publishers, and international organizations are encouraged to adopt ADT-1 to:

 Enhance transparency in global academic production
 Improve reproducibility and integrity of research
 Facilitate AI-related bibliometric mapping
 Enable compatibility with future AI ethics and documentation frameworks

 8. Version Control and Future Extensions

ADT-1 is versioned for long-term sustainability. Future revisions may incorporate extended categories, multilingual standards, field-specific adaptations, and compliance monitoring protocols.
The present document defines ADT-1 (Version 1.0) as the foundational international guideline for AI involvement disclosure.