Using generative AI in research and report writing: Integrity, sources and disclosure
A ready-made course you customise for your organisation, with a live session deck and two surveys. You only add the 9 details that are specific to your organisation.
- Length
- 35 min
- Lessons
- 6 lessons
- Frequency
- Before a team uses AI for literature review or report drafting
- Last reviewed
- 21 Oct 2026
AI summarises a 40-page market report and drops a caveat that reverses the finding
Try it: this is one of 15 interactive activities in the course.
What's included
Three pieces that work together
Copy once, get everything. Learners prepare on their own, you answer questions live, and the surveys tell you what stuck.
Self-paced course
Short lessons with real workplace scenarios, not walls of text.
- 6 lessons, about 35 minutes
- Scenario, timeline, flashcards, tabs and quizzes
- 10-question final check, 80% to pass
Live session deck
An AhaSlides presentation to run after the course, in person or online.
- 10 slides
- Quiz, poll, word cloud, scale slides
- A closing slide for your contacts
Two surveys
Find out what landed, and whether people use it on the job.
- Post-course feedback, about 2 minutes
- 30-day check-in
- Anonymous by default
- Results feed your next refresher
Learning objectives
At the end of this course, learners can
Each objective and the lesson that covers it.
| ID | Objective | Source | Where it's covered |
|---|---|---|---|
| TO 130.0 | Achieve ≥ 80% on the final assessment | - | Whole course |
| SO 130.1 | Use AI search and summarisation tools without introducing fabricated or unverifiable sources | NIST AI 600-1 GenAI Profile (confabulation) | Whole course |
| SO 130.2 | Keep confidential and personal research data out of non-approved AI tools + your info | GDPR Art. 5 and Art. 35 | Whole course |
| SO 130.3 | Disclose AI assistance in reports and publications according to policy + your info | Organisation, client or publisher policy | Whole course |
| SO 130.4 | Recognise copyright and licence limits on feeding third-party material into AI tools | DSM Directive 2019/790 Art. 4; NIST AI 600-1 (intellectual property) | Whole course |
| SO 130.5 | Record AI use so that a result can be traced and checked | Best practice | Whole course |
Your part: what a template can't do for you
- Your workplace details: fill in the 9 highlighted fields so the course describes your own policies, contacts and locations.
- Records: record completion in your own LMS or record system.
Course outline
6 lessons, about 35 minutes
Minutes per lesson are an estimate, shared out by page count.
1Why fabricated citations end up in print
3 pages
7 min
Why fabricated citations end up in print
3 pages
2How AI research tools fail: search, summarise, extract
3 pages
7 min
How AI research tools fail: search, summarise, extract
3 pages
3Verify each source and record AI use
3 pages
7 min
Verify each source and record AI use
3 pages
4Grey areas: transcripts, paywalled reports, draft feedback
3 pages
6 min
Grey areas: transcripts, paywalled reports, draft feedback
3 pages
5Disclosing AI assistance and using approved tools
2 pages
4 min
Disclosing AI assistance and using approved tools
2 pages
6Final assessment and acknowledgement
Assessment
4 min
Final assessment and acknowledgement
Assessment
Live deck and surveys
10 slides to run live, two surveys to close the loop
Pink slides are interactive. Both surveys are anonymous; pink questions are written for this course.
Post-course feedback: 10 questions, about 2 min
- Overall rating 5 stars
- Relevant, realistic, right length, helpful activities agree/disagree grid
- What was most useful? multi-select
- Confidence before this course, and now 1-5 scale
- Which AI tools do you use for research or report writing? multiple choice
- Have you ever found a fabricated source in AI output? multiple choice
- How confident are you checking an AI-found reference? 1-5 scale
- One thing we should change or add open text
- Would you recommend this course? NPS
30-day check-in
- Have you used what you learned since the course? multiple choice
- How confident are you today? Compare with day 1 1-5 scale
- A moment where the training helped, or where you weren't sure open text
- Which topics should the next refresher focus on? ranking
Results show whether people use the training on the job, not just whether they finished it.
Make it yours
9 fields to fill in, and you're ready
Everything else is done. These are the details only your organisation knows; each one is highlighted inside the course.
- Tools approved for research and what data they may take
{{APPROVED_AI_TOOLS}} - Policy on participant and client data
{{RESEARCH_DATA_POLICY}} - Standard AI disclosure statement
{{DISCLOSURE_WORDING}} - Where AI use is recorded
{{AI_USE_LOG}} - How to look up references
{{LIBRARY_ACCESS}} - Contact, surveys and completion record
{{AI_HELP_CONTACT}}
Show all 9 fields
- Contact, surveys and completion record
{{SURVEY_1_URL}} - Contact, surveys and completion record
{{SURVEY_2_URL}} - Contact, surveys and completion record
{{LMS_OR_RECORD_SYSTEM}}
FAQ
Common questions
Can I run using generative AI in research and report writing: Integrity, sources and disclosure training online?
Yes. The course is self-paced and online, and the live deck lets you add a live session in the room or online.
How often is this training needed?
Before a team uses AI for literature review or report drafting, annually, and when a journal or client changes its rules.
Who needs this training?
R&D, analyst, policy, insight and technical writing staff; research teams in corporate, public and health settings; run by research leadership, legal or L&D.
What records should I keep?
Record completion in your own LMS or record system, so you can show who finished the course and when.
Can I edit the content?
Yes, everything. Change the wording, swap scenarios for ones from your workplace, add your logo, or remove parts that don't apply.
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Ready to run it?
Open the live deck to see how the session runs alongside the course and both surveys.