Can you trust that answer? spotting AI hallucinations and checking AI output
A ready-made course you customise for your organisation, with a live session deck and two surveys. You only add the 6 details that are specific to your organisation.
- Length
- 30 min
- Lessons
- 7 lessons
- Frequency
- At hire, annually
- Last reviewed
- 21 Oct 2026
An AI-written client email cites a standard and a date
Try it: this is one of 19 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.
- 7 lessons, about 30 minutes
- Scenario, flashcards, sorting activity, process 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 125.0 | Achieve ≥ 80% on the final assessment | - | Whole course |
| SO 125.1 | Explain why AI tools produce confident but false output | NIST AI 600-1 GenAI Profile (confabulation) | Whole course |
| SO 125.2 | Apply a five-step routine to check AI output before reusing it | Best practice | Whole course |
| SO 125.3 | Choose the level of human review that fits the risk of the task + your info | NIST AI 600-1 (human-AI configuration); organisation's AI policy | Whole course |
| SO 125.4 | Recognise flattery, outdated information and invented sources | Best practice | Whole course |
| SO 125.5 | Correct and report a harmful AI error + your info | Organisation's incident procedure | Whole course |
Your part: what a template can't do for you
- Your workplace details: fill in the 6 highlighted fields so the course describes your own policies, contacts and locations.
- Records: record completion in your own LMS or record system.
Course outline
7 lessons, about 30 minutes
Minutes per lesson are an estimate, shared out by page count.
1A confident answer that was invented
3 pages
5 min
A confident answer that was invented
3 pages
2Six ways AI output goes wrong
3 pages
5 min
Six ways AI output goes wrong
3 pages
3A five-step routine to check AI output
3 pages
5 min
A five-step routine to check AI output
3 pages
4Grey areas: dropped causes and fake regulations
3 pages
5 min
Grey areas: dropped causes and fake regulations
3 pages
5Matching human review to task risk
2 pages
4 min
Matching human review to task risk
2 pages
6Reporting a harmful AI error
2 pages
3 min
Reporting a harmful AI error
2 pages
7Final assessment
Assessment
3 min
Final assessment
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
- How often do you check AI output before using it? multiple choice
- Have you ever reused AI output that turned out wrong? multiple choice
- How confident are you spotting an invented fact? 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
6 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.
- Which tasks need expert sign-off
{{HIGH_RISK_REVIEW_RULE}} - Where to report AI errors
{{AI_HELP_CONTACT}} - Tools staff may use
{{APPROVED_AI_TOOLS}} - Surveys and completion record
{{SURVEY_1_URL}} - Surveys and completion record
{{SURVEY_2_URL}} - Surveys and completion record
{{LMS_OR_RECORD_SYSTEM}}
FAQ
Common questions
Can I run can you trust that answer? spotting AI hallucinations and checking AI output 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?
At hire, annually, and when a new AI assistant is rolled out.
Who needs this training?
All staff who use AI assistants for drafting, research or analysis; run by L&D, IT, risk or an AI champion.
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
AI acceptable use at work
All employees using generative AI tools · AI Training for Employees
EU: AI literacy (EU AI act article 4)
All staff · AI Training for Employees
How generative AI works: Essentials for every employee
All staff · AI Training for Employees
Finding the right work for AI: Spotting, testing and prioritising use cases in your team
All staff and team leads · AI Training for Employees
Ready to run it?
Open the live deck to see how the session runs alongside the course and both surveys.