Global

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.

See the live deckSee the full outline
Try the coursePreview the survey
Length
35 min
Lessons
6 lessons
Frequency
Before a team uses AI for literature review or report drafting
Last reviewed
21 Oct 2026
Verify each source and record AI use
What would you do?

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.

IDObjectiveSourceWhere it's covered
TO 130.0Achieve ≥ 80% on the final assessment-Whole course
SO 130.1Use AI search and summarisation tools without introducing fabricated or unverifiable sourcesNIST AI 600-1 GenAI Profile (confabulation)Whole course
SO 130.2Keep confidential and personal research data out of non-approved AI tools + your infoGDPR Art. 5 and Art. 35Whole course
SO 130.3Disclose AI assistance in reports and publications according to policy + your infoOrganisation, client or publisher policyWhole course
SO 130.4Recognise copyright and licence limits on feeding third-party material into AI toolsDSM Directive 2019/790 Art. 4; NIST AI 600-1 (intellectual property)Whole course
SO 130.5Record AI use so that a result can be traced and checkedBest practiceWhole 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.

ContentInteractiveVideoYou customise
1

Why fabricated citations end up in print

3 pages

7 min
Before you beginNoteList
The reference that was never publishedTextImageTimeline
Why it happensFlashcardsKey factQuiz
2

How AI research tools fail: search, summarise, extract

3 pages

7 min
Three jobs, three failuresTabs
Spot the fabricated referenceSorting activityYour info
CheckMulti-select quiz
3

Verify each source and record AI use

3 pages

7 min
The verification routineProcess
AI use logChecklistYour info
PracticeScenarioQuiz
4

Grey areas: transcripts, paywalled reports, draft feedback

3 pages

6 min
Interview transcriptsScenarioYour info
The paywalled reportScenario
Draft feedbackScenarioMulti-select quiz
5

Disclosing AI assistance and using approved tools

2 pages

4 min
Disclosure statementsChecklistYour info
Approved toolsAccordionYour infoMatching quiz
6

Final assessment and acknowledgement

Assessment

4 min
Final check10 questions80% to passCompletion page

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.

ContentTitle and agenda
PollHave you ever found a fabricated source in AI output?
Word cloudWhat would you check before citing something an AI found?
QuizAn AI tool gives you a reference you cannot find. You…
ContentThe verification routine in five lines
QuizWhich can you paste into a public AI tool?
ScaleHow confident are you checking AI-found sources?
Open-endedHow would you word an AI disclosure for your last report?
Q&AAsk the trainer anything
Content · customiseClosing {{AI_HELP_CONTACT}}, {{SURVEY_1_URL}}, {{SURVEY_2_URL}}
Post-course feedback: 10 questions, about 2 min
  1. Overall rating 5 stars
  2. Relevant, realistic, right length, helpful activities agree/disagree grid
  3. What was most useful? multi-select
  4. Confidence before this course, and now 1-5 scale
  5. Which AI tools do you use for research or report writing? multiple choice
  6. Have you ever found a fabricated source in AI output? multiple choice
  7. How confident are you checking an AI-found reference? 1-5 scale
  8. One thing we should change or add open text
  9. Would you recommend this course? NPS
30-day check-in
  1. Have you used what you learned since the course? multiple choice
  2. How confident are you today? Compare with day 1 1-5 scale
  3. A moment where the training helped, or where you weren't sure open text
  4. 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.

Related templates

Often taught together

All AI governance templates →
Global

Leading your team through AI adoption

People managers and team leads · AI governance

45 min
Global

Working with AI agents: Delegation, human oversight and accountability

Staff and team leads · AI governance

40 min
European Union

Who is responsible? AI act roles, deployer duties and your organisation's AI governance

Managers · AI governance

45 min
Global

Responsible AI in practice: Recognising bias and making fair decisions

All employees · AI governance

30 min
Last reviewed: 21 October 2026Templates are a starting point, not legal advice.

Ready to run it?

Open the live deck to see how the session runs alongside the course and both surveys.

See the live deck