Responsible Use of AI
for Academic Authors

Why join this workshop?

Artificial intelligence is changing academic writing faster than almost any previous technological development. Researchers increasingly use AI to support planning, drafting, revising and editing, yet many remain uncertain about where AI genuinely adds value and where human judgement must remain fully in control.

This workshop provides a practical framework for integrating AI into academic writing without compromising scientific integrity, intellectual ownership or publication quality.

WHAT YOU WILL LEARN?

Participants learn how to

• understand what AI can and cannot do for academic writing
• integrate AI into an author-led writing process
• evaluate AI-generated output critically
• understand publisher and journal expectations
• make responsible decisions about AI use
• maintain intellectual ownership throughout the writing process

WHAT PARTICIPANTS TAKE AWAY

Participants receive three practical resources they can immediately apply in their own work:

• Responsible Author’s AI Workflow – a structured process for integrating AI into academic writing
• Responsible AI Decision Framework – guiding questions for deciding when and how AI should be used
• Responsible AI Checklist – a final review tool before submitting AI-supported work

AI should reduce the effort of writing—not the responsibility of authorship.

What topics do we cover?

Part 1 – Understanding AI in Academic Writing
Current AI tools, opportunities, limitations and realistic expectations.

Part 2 – The Responsible Author’s AI Workflow
Applying AI throughout the writing process while remaining intellectually in control.

Part 3 – Integrity, Policy & Intellectual Ownership
Publisher expectations, disclosure, confidentiality and responsible authorship.

How is it taught?

he workshop combines short expert inputs with demonstrations, discussion, practical examples and guided reflection. Participants work with realistic academic writing situations rather than learning software commands or prompt engineering.