All courses / AI Governance / Module 2 / Chapter 7
Learning objectives
After the lesson the participant can:
- Explain how Article 25 of the AI Act can make a purchasing organisation the provider of a high-risk AI system.
- Design vendor due-diligence questions that ask for an artefact and name the obligation each supports.
- Identify where lock-in hides in AI and the control that contains each form.
- Review a draft model-supply contract against the clause table, marking each clause present, a gap or missing, with its enforcing control.
Key concepts
- Artefacts rather than assurances
- The remedy for weak vendor assessment. The schema records what the organisation has received, not what the vendor has claimed; a model card is an artefact, a statement that the vendor follows responsible AI principles is not.
- Evaluation set as specification
- Under Article 42 of Directive 2014/24/EU an authority cannot specify a named vendor's model. The versioned test cases and acceptance thresholds are therefore the lawful way to express a requirement that would otherwise be a brand name.
- Register of information
- The register of all ICT contractual arrangements that Article 28 of DORA requires financial entities to maintain. For a bank or insurer, the vendor assessment schema is its source for AI providers.
- Exit strategy
- A document in the repository that names each dependency, the replacement path, the estimated time and the evidence that the path has been exercised. The chapter states that an exit strategy never rehearsed is a hope.
- Open-weight versus open-source AI
- Many models called open have downloadable weights but restrictive licences and no description of training data. The Open Source AI Definition also requires sufficiently detailed training data information, complete training and inference code, and the parameters.
Interactive exercises
Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.
Interactive exercise 1 · Match
Each clause and the control that enforces it
Match each contract clause with the enforcing control the chapter pairs it with, since a clause without a control cannot be verified.
Interactive exercise 2 · Sort
Buy, adapt or build
Sort the sourcing options into the three groups of Figure 7.1. The further towards build, the more provider obligations the organisation takes on.
Teaching plan
| 10 min | Opening: participants name the last AI purchase in their organisation and state which role under the AI Act it gave them; the teacher introduces buying as taking on an obligation. |
| 25 min | Teacher presentation: roles along the value chain, what a provider must hand over, public procurement under Directive 2014/24/EU, DORA Articles 28 and 30, and the open-weight trade-off. |
| 10 min | Group reading of Nordvik Region's due-diligence questionnaire for tender NR-2026-117: why a statement without the artefact scores 0 and what the mandatory questions exclude. |
| 35 min | Exercise in groups: review a supplier agreement against the clause table and write the due-diligence questions that would have exposed the gaps. |
| 10 min | Debrief: groups report their count of gaps and missing clauses and whether the contract is ready for signature, as in Hansa Mutual's checklist. |
Discussion
- Mode 0 is the case procurement most often misses, because no purchase takes place. Which of your existing software agreements would let a supplier switch on an AI feature without notice?
- Hansa Mutual records a clause as a gap when it cannot verify it through its own gateway, evaluation service or evidence pipeline, even if the wording is acceptable. What would that rule do to your current contracts?
- Open-weight models offer control at the price of competence and infrastructure, proprietary models capability at the price of dependency. For which of your use cases does each side of the trade-off weigh most?
Written exercise
Exercise · 35 minutes
Review a model-supplier contract
Take a current or draft agreement with an AI supplier from your own organisation, or work from Hansa Mutual's situation with Model Provider Alpha. Go through the seven clauses of the chapter's table: customer data use, processing location, model updates, documentation delivery, incident notification, audit and access rights, and exit assistance. For each, record what the contract states, mark it OK, GAP or MISSING, and name the control in your own estate that would verify it. Then write five due-diligence questions in the style of Nordvik Region's questionnaire: each asks for a specific artefact and names the obligation it supports. Finish with an outcome: ready for signature or not, and the changes required.
Deliverable: A seven-row clause checklist with status and enforcing control, five artefact-based due-diligence questions, and a signature recommendation.
Self-test
Choose an answer to see whether it is right, or open the answer below each question.
Why is the evaluation set, according to the chapter, more than a quality tool for a public authority?
Show the answer
D. Because it is the lawful way to express a requirement that would otherwise be a brand name
Article 42 of Directive 2014/24/EU requires specifications in performance or functional terms. The authority must specify what the system must do and how well, so the evaluation set carries the requirement a brand name cannot.The AI Act exempts providers of general-purpose AI models released under a free and open-source licence from some documentation duties. Whose relief is that, as the chapter puts it?
Show the answer
B. The provider's, not the downloading organisation's
The relief under Article 53(2) is the provider's. Deploying the model in a high-risk system still makes the organisation a deployer, and modifying and rebranding it may make it a provider under Article 25.In Hansa Mutual's review of draft v3 of the agreement with Model Provider Alpha, what was the outcome?
Show the answer
A. Not ready for signature, with 4 clauses missing and 8 gaps
The checklist ends with the outcome not ready for signature: 4 MISSING and 8 GAP, with a re-review after draft v4. Examples are the 30-day update notice against a required 90 and the missing training content summary.