Train emergency responders in simulators with AI scenarios
Simulators train drivers and emergency responders with AI-controlled scenarios
Fits: Teaching & education
The goal: the simulator keeps generating new situations and adjusts them to the trainees’ level instead of replaying the same scenarios. To be honest: having situations and counterparts controlled by AI has so far only been trialled in individual projects. There is no evidence that this trains people better than fixed, well-built scenarios.
Is this for you?
- You train in simulators, e.g. driving simulators for emergency driving, and have fixed scenarios that trainees work through over time.
- You have trainers who accompany every exercise and can stop it, and an examination system that remains unaffected.
- You want to gain experience as a pilot partner and can end the project without any training regulations depending on it.
Without technology and without trainee data: use the template below to compile the state of knowledge on AI-controlled scenarios in simulators, with sources, and use it to define questions for providers and pilot criteria.
How to go about it
- Define the learning objective and stop criteria
- Specify situations, regulations and levels
- Set up scenarios in the simulator and check them in advance
- Practise with trainers and check feedback
- Practise regularly in the pilot, within a fixed framework
- Evaluate the pilot and decide whether to continue
Templates to copy
The complete guide
- 6 steps explaining exactly what to do
- 3 proven templates to copy into your own AI
- Safe use: data, checking, deciding, informing
- Pitfalls, effort and how to recognise success
With the training you get all 430 guides for as long as your access runs.
Same approach, other use cases
5 more use cases follow the pattern “Practising & learning with AI”.
WB-07 · Legal status 08.10.2026