AI Threat · Module 3 · Society and Truth

The Automated State: When Public Authorities Got It Wrong

The lesson studies a dystopia that has already happened without advanced AI: SyRI, the Dutch childcare benefits scandal and Robodebt. Participants identify the four common mechanisms, see what the technology did and what law, politics and culture contributed, learn which duties of the AI Act now answer the failures and where older protections still carry the weight, and run a harm-path review of an automated decision system.

Lesson 11 of 35Chapter 1190 minutes

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Learning objectives

After the lesson the participant can:

Key concepts

The harm path
The route from data through a model or rule, a flag, an official action and a burden on the citizen to redress or its absence. Complaints, appeals and inquiries feed back to the model only if someone listens.
Reversed burden of proof
The system's output becomes a presumption the citizen has to rebut, although administrative law in most European states places the burden of establishing the facts on the authority.
Institutional denial
The signals were there, but the institutions treated them as noise. It is the institutional form of T8: officials stopped asking whether the system was right, in organisations that had removed the people whose job was to ask.
Reasons log
A record for every case of why it was handled as it was. With the Article 86 explanation it answers opacity, and it marks the line between decision support and automated decision.
Stop decision
A tested procedure by which named people can stop the system, with a fallback that can run for at least a month. In Nordvik's review the queue reverts to date order.

Interactive exercises

Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.

Interactive exercise 1 · Put in order

The harm path

Put the steps of the harm path of an automated decision system in order, from where it starts to where it ends.

Interactive exercise 2 · Sort

Four common mechanisms

Sort each observation from the three cases, or from Nordvik's harm-path review, under the mechanism it illustrates.

Teaching plan

20 minThe teacher tells the three cases in turn; participants fill in a table with columns for what the technology did, what law, politics and culture contributed, and what stopped it.
12 minDerive the four common mechanisms from the table and map each to a control in Table 11.1.
13 minReview what the AI Act now requires for Annex III point 5(a) systems and the three caveats; discuss why none of these duties prevents a harm path by itself.
35 minExercise in groups: run a harm-path review of one automated decision system using the four questions at each step, and record paths as closed, controlled or open.
10 minStage the debate on whether the failures were of technology or of law and culture, then review the verdicts on T7 and T8.

Discussion

  1. In every case the correction came from outside the institution. What does that imply about which outside signals your organisation should treat as monitoring data, and who should receive them?
  2. The case for calm says Robodebt's arithmetic would have been harmless had a mismatch prompted a request for evidence. Is the distinction between a harmful tool and a harmful use of a tool useful to an authority deciding what to automate?
  3. Nordvik's review leaves one path open and says so. Why might an honest open gap be worth more to an audit committee than a review in which every path is marked controlled?

Written exercise

Exercise · 35 minutes

A harm-path review

Choose one system in your organisation that ranks, flags, scores or calculates something about people, or use Hansa Mutual's underwriting-support model. Draw its path from data to redress on one page as it is actually used. At each step ask the four questions: can the output shift the burden of proof; can the person, the official and an appeal body see why; how many people would an error reach before someone with authority notices; who would hear the signals and could they stop the system. Write each harm path as one sentence naming mechanism, affected group and harm. For each, name the control and its evidence, or record an open gap with an owner and a date. Name who can take the stop decision and the fallback.

Deliverable: A harm-path review listing at least four paths with mechanism, harm, control, evidence and status, plus the stop decision and fallback.

Self-test

Choose an answer to see whether it is right, or open the answer below each question.

  1. On what ground did the District Court of The Hague declare the SyRI legislation unlawful in February 2020?

    Show the answer

    B. It did not meet Article 8(2) of the European Convention on Human Rights, the right to respect for private life
    The model and its indicators were not public, so neither the people affected nor the court could verify how it worked, and the legislation lacked safeguards against discriminatory and stigmatising effects.

  2. Why would Robodebt's income averaging probably not qualify as an AI system under the AI Act, according to the chapter?

    Show the answer

    D. The Act defines an AI system by its capacity to infer; averaging is a fixed calculation
    A fixed calculation falls outside that definition; it would be caught instead by Article 22 of the GDPR and national administrative law, which is why older protections remain essential.

  3. Which path did Nordvik's harm-path review HPR-NR-2026-01 leave open?

    Show the answer

    A. Institutional denial: complaints and appeal reversals are not connected to the system
    HP-5 is the honest gap, the missing connection to outside signals that let the Dutch and Australian failures run for years; it has an owner and a due date.