AI disclosure should help readers understand what assistance was used, what remained human-led, and how outputs were verified.
The problem this resource solves
Students and researchers often know they should disclose AI use but do not know what a clear, honest, academically useful statement looks like.
Who should use it
- Faculty members and academic leaders.
- Research scholars and postgraduate learners.
- Institutions planning practical AI capability.
Core framework
Use the issue as a practical academic workflow: clarify purpose, choose responsible support, verify outputs, document use, and improve the human-led process.
- Name the tool or type of tool.
- Explain the purpose of use.
- State what was not delegated to AI.
- Describe verification and editing.
- Confirm responsibility for the final work.
Practical workflow
- Define the academic task and learning or research objective.
- Decide where AI can support without replacing core thinking.
- Use structured prompts or templates.
- Verify outputs against reliable sources and institutional expectations.
- Document AI use and refine the workflow after review.
Examples and applications
- A faculty member converts the resource into a classroom activity.
- A research scholar uses the checklist before drafting or submitting work.
- An institution adapts the framework for an FDP or policy discussion.
Responsible-use boundaries
AI-supported work should remain transparent, verifiable, privacy-aware, and aligned with academic integrity. The user remains responsible for claims, decisions, citations, and final submitted work.
Checklist
- Purpose is clear.
- Human judgment is visible.
- Sources are verified.
- Sensitive data is protected.
- Disclosure expectations are followed.
Related pathways
- Generative AI in Education hub
- AI for Research hub
- Responsible AI in Education hub
- Speaking and workshops
- Downloads and tools
- Disclosure examples download
Invite or adapt this topic
This resource can be adapted into a keynote, invited lecture, FDP, research scholar workshop, classroom note, or institutional planning session. For a tailored session, share the audience profile, expected duration, and the practical outcomes required.