All courses / Landscape / Module 2 / Chapter 7
Learning objectives
After the lesson the participant can:
- Explain the chapter's comparative claim: the model bounds what a use can do, while the use and usage mode set the risk and value.
- Describe what the AI Incident Database and the OECD monitor record, and three limits of the database's counts.
- Relate the roles of provider and deployer and the list in Annex III of the AI Act to use, as the chapter reads them.
- Draw two units that share a model provider in the supply and sovereignty view.
Key concepts
- The model instinct
- The habit of treating the model as the thing that carries the risk and the value: asking which model first and expecting the answer to say how dangerous, how useful and how well governed an AI use is.
- The model bounds, the use decides
- Models differ in training, openness of weights, where they are served and what they can do, so the model bounds what a use can do. The use and its usage mode decide what it does do, to whom and with what consequences.
- Alleged deployer and developer
- The fields the AI Incident Database carries instead of a model column, attributed by volunteer editors from press reports. The most-named deployers are scammers in 240 incidents, deepfake creators in 129 and synthetic media creators in 106.
- Annex III as a list of uses
- Under Article 6(2) of the AI Act the systems listed in Annex III are high-risk, and the annex lists uses, such as recruitment and the evaluation of eligibility for essential public benefits, not models. Article 6(3) narrows the class again by use.
- The model chip
- In the supply and sovereignty view the model appears as a small chip in its provider's container, joined by a thin line to each unit that depends on it. The model's name stays in the AI system register as text.
Interactive exercises
Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.
Interactive exercise 1 · Scenario
A model's name in the first line
Read the situation and choose the executive's first question, following the chapter's rule of thumb.
Interactive exercise 2 · Match
What the AI Act attaches to
Pair each provision of the AI Act with what the chapter reads from it. This is a reading of the law's structure, not legal advice.
Teaching plan
| 10 min | Opening: the teacher describes the incident table with no model column and asks the room to guess the three most-named deployers before showing them. |
| 25 min | Lecture on the evidence: the classification of 1,498 incidents, the three limits of the record, the OECD monitor's 2025 harm types, and how Articles 3(3), 3(4), 6(2), 6(3), 25(1)(c) and 26 of the AI Act follow use: a reading of structure, not advice. |
| 15 min | Guided reading of Figures 7.3 and 7.4: participants try to find the model in Hansa Mutual's V1, then find the chip and the two thin lines from HM-CA and HM-AWT in its V3. |
| 30 min | Exercise: participants rewrite a model-first statement as use and deployer, and draw the units that share a model. |
| 10 min | Closing: the two cases where the rule stops applying, and the question whether the rows of the organisation's own register are models or uses. |
Discussion
- The chapter grants the instinct a kernel of truth: some differences between models matter. For one use in your organisation, which property of the model bounds what the use can do?
- Counts by year in the incident database reflect media attention and editorial throughput as much as the frequency of harm. What can such a record still tell a reader, and what can it not?
- At Hansa Mutual a change of mode in one unit may be read as no change because the model is the same. How would a register of models and a register of uses each show that change?
Written exercise
Exercise · 30 minutes
One model, two marks
Find one sentence from a proposal, an incident report or a news story in which a model is the subject: a model was deployed, made a mistake or is safe. Rewrite it with the chapter's two questions in order. What is it used for: which mode, at which level, touching whom, with what reversibility. Who deploys it: under whose authority, with whose identity, behind which policy point, with whom in the seat. Then take two AI uses in your organisation that share a model provider, or Hansa Mutual's HM-CA and HM-AWT, and sketch them by hand in the supply and sovereignty view: both marks inside the organisation's solid boundary, one chip labelled model in the provider's dashed container, a thin line from each mark, and no model name.
Deliverable: The rewritten statement answering both questions, and a hand-drawn V3 fragment with two marks, one model chip, the provider's container labelled by role and jurisdiction, and two lines.
Self-test
Choose an answer to see whether it is right, or open the answer below each question.
Under Article 25(1)(c) of the AI Act, as the chapter reads it, what follows when a deployer modifies the intended purpose of a system not classified as high-risk so that it becomes a high-risk AI system?
Show the answer
C. The deployer is then considered to be the provider of that high-risk system
Article 25(1)(c) closes the loop: a deployer that changes the intended purpose so that the system becomes high-risk is considered its provider. The roles follow what a body does with a system, not which model is inside it.In Figure 7.4, why does the mark of the conversational assistants HM-CONV sit inside a model provider's dashed container, while HM-CA and HM-AWT stay inside Hansa Mutual's own boundary?
Show the answer
A. Because that provider operates the HM-CONV service, while the group operates HM-CA and HM-AWT itself
A mark is placed with the supplier that operates it. HM-CONV sits in the second provider's container because that provider operates the service; HM-CA and HM-AWT are operated by the group and only run a line to the model chip.The Stanford AI Index 2025 reported 233 incidents for 2024, and the snapshot of 2 November 2026 holds 313 for the same year. What limit of the AI Incident Database does this illustrate?
Show the answer
D. The record is revised retroactively, as reports for earlier years arrive
The chapter lists three limits: counts reflect media attention and editorial throughput, the record is revised retroactively, and its one geographic field says little about Europe. The two figures for 2024 show the retroactive revision.