All courses / AI Boss / Module 5 / Chapter 22
Learning objectives
After the lesson the participant can:
- Explain the three cumulative conditions of GDPR Article 22(1) as the chapter sets them out.
- Measure whether a score plays a determining role, using the chapter's four measurements.
- State what the record must show for a human decision to count as meaningful involvement.
- Classify the outputs of a management system as human, solely automated or uncertain, and design the response.
Key concepts
- Solely automated decision
- Under Article 22(1), a decision based solely on automated processing, including profiling, with legal or similarly significant effects. Human involvement must be meaningful, by someone with the authority and competence to change the decision.
- Determining role
- An automated score is itself a decision where the decider draws strongly on it. Inside an employer, whether it does is a measurable fact about use, not something the procedure's label settles.
- Departure rate
- How often the decider differs from the score. The chapter's default treats a rate under 5 per cent for two quarters, with a median decision time under one minute for a consequence decision, as determining influence requiring redesign.
- Explanation of the logic
- An intelligible explanation of the procedure and principles actually applied to the person's data. A formula does not suffice and complexity is no excuse; stating what variation in the data would have changed the result may suffice.
- One evidence base, two documents
- The DPIA asks whether processing is necessary and decisions solely automated; the FRIA asks how the system affects working conditions, equal treatment and dignity. A cross-reference maps each element to one or the other.
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
Data protection provisions and what they give
Match each provision of the GDPR with what Chapter 22 says it provides. These are architectural implications, not legal advice.
Interactive exercise 2 · Scenario
A score that nobody departs from
Apply the chapter's measurements of determining influence, and its defaults, to the situation below.
Teaching plan
| 15 min | The teacher presents the four instruments and the three conditions of Article 22, with examples of decisions that do and do not have significant effect. |
| 15 min | Participants compute and interpret the four measurements for Hansa's TalentLens figures: 41 vacancies, departures in 11 per cent of shortlists, reading below the cut for 95 per cent of vacancies. |
| 10 min | Presentation of the explanation duty, Article 88 and Chapter III of the Platform Work Directive as a specification. |
| 25 min | Exercise: groups list the outputs of one system, classify each decision and design the human decision point and explanation. |
| 10 min | Debrief on the ShiftWise open-shift award: why a published rotating order that uses nothing about the person is not a ranking, and what would reopen the analysis. |
Discussion
- The chapter says an employer can fall into Article 22 by success: a system whose recommendations nobody questions drifts to a de facto Level 4 Autonomous. How would your organisation notice?
- A low departure rate can mean the score is good. How should an organisation tell a good score from a rubber-stamped one?
- A works agreement is described as the right instrument for an HR system but not a safe harbour. What must such an agreement contain to carry weight?
Written exercise
Exercise · 25 minutes
Check a system for solely automated decisions
Take one management system, such as TalentLens, the sales-performance score, ShiftWise or a system of your own. List its outputs: each score, rank, allocation or flag, the decision it feeds, its management function and its decider. Test the effect of single decisions and of patterns that set hours or earnings. For each decision state how you would measure human involvement, and classify it as human, solely automated or uncertain, treating uncertain as solely automated. For each solely automated decision, redesign it so that a person decides, or state the condition under which it stays without significant effect. Sketch the explanation a worker would receive and the review path with a named contact and a time to answer.
Deliverable: A table of outputs with effect, measurement, classification and design response, plus a draft explanation in the worker's terms and the triggers that reopen the analysis.
Self-test
Choose an answer to see whether it is right, or open the answer below each question.
Under what condition does the ShiftWise open-shift award stay outside Article 22, according to DPIA-2026-031?
Show the answer
D. As long as no personal aspect orders the offers and declining has no effect
The award is solely automated, but offered in a published rotating order it evaluates no personal aspects and no single award has significant effect. Ranking recipients or using acceptance history would reopen the analysis.What does the chapter say about consent as a basis for solely automated decisions in employment?
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B. It is highly unlikely to be valid unless employees can refuse without adverse consequence, so the guide says not to rely on it
The exceptions in Article 22(2) are narrow in employment because of the imbalance of power. The chapter's design, built on a named human decider, does not depend on any exception.In AIDR-0676, what happens if recruiters' departure rate from the TalentLens ranking falls under 0.05 for two quarters?
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A. The ranking display is paused
The floor turns the determining-role test into a number the Konzernbetriebsrat can watch. A breached floor signals that the score, not the recruiter, is deciding, so the display is paused.