AI Leader · Module 3 · Leadership Roles Across the Organisation

Leaders in the Public Authority: Mandate, Legitimacy and Democratic Accountability

The lesson treats the leader whose mandate comes from voters, statute and a duty to give reasons. Using Swedish law as the illustration for Nordvik Region, participants trace the chain of delegation from council to caseworker, treat reasons, hearing and appeal as design requirements, weigh the mixed evidence on human review, and specify what procurement, archives and elected oversight must be given for an AI-supported public decision to be legitimate.

Lesson 18 of 33Chapter 1890 minutes

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Learning objectives

After the lesson the participant can:

Key concepts

Chain of delegation
The council decides matters of principle; a committee may delegate decisions to members, employees or, since 2022, an automated decision function, except where Chapter 6, Section 38 of the Swedish Local Government Act forbids it. A caseworker's decision is the Region's decision under that chain.
Reasons, hearing and appeal
Under the Administrative Procedure Act the party is informed of material and may respond, a significant decision carries a clarifying statement of reasons, and it can be appealed within three weeks. The decision must rest on circumstances the official can name and defend without the system.
Necessary and not sufficient
The evidence on human review is mixed: experiments found selective adherence to advice matching stereotypes, and a survey of 41 oversight policies argued people cannot perform the oversight assumed. The caseworker is a necessary check, so the leader answers also for the system.
Deployer duties at procurement
For the procured benefits-triage system the AI Act makes the Region the deployer: use according to instructions, monitoring, logs kept at least six months, information to persons concerned, a fundamental rights impact assessment under Article 27 and registration under Article 49.
The council's quarterly view
Elected oversight sees the system and not the case. Its specification: the register with degrees of delegation, changes since the last report, departure rates by group of applicant, appeal outcomes, Explain and Reach test results, and the age of evidence behind each claim.

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

What the resident is given, in sequence

Put the four steps the Administrative Procedure Act gives the resident, as the chapter describes them, in the order in which they occur in a case.

Interactive exercise 2 · Scenario

An offer to automate the decisions

Apply the chapter's proposals for Nordvik Region to an offer from a supplier.

Teaching plan

20 minLecture on political direction and professional administration and on the director under public law, with the statutes used as illustration and framed as organisational implications.
15 minThe teacher presents the four things the resident is given and the mixed evidence on human review; participants say what a departure rate near zero would signal.
10 minWalk through the table of degrees of delegation against reasons, hearing, appeal and archive, noting that the book's ceiling is stricter than the statute for decisions about people.
35 minExercise: write a decision record for an AI-supported case decision and specify the quarterly view.
10 minQuiz and the comparison with Hansa Mutual: where legitimacy comes from in each organisation.

Discussion

  1. The Local Government Act allows delegation to an automated decision function in some matters, and the book's ceiling is stricter. What reasons does the chapter give for holding decisions about a named person's support at Level 0 Advisory?
  2. A supplier update can change a system without a council decision. How would your authority's elected level learn that a model or a degree of delegation had changed?
  3. Hansa's legitimacy comes largely from supervision and contract and shows only when something fails. What would an insurer gain from borrowing the reasons log and the quarterly view voluntarily?

Written exercise

Exercise · 35 minutes

Decision record and quarterly view

Part one: write a leadership decision record in the form of LDR-NR-2030-0014 for one case decision in which an AI system took part, in your own authority or at Nordvik Region's benefits division. Record the decider and the delegation under which the decider acted, the answering leaders, the system, its degree of delegation and what it contributed, the material communicated to the party, the reasons as the official would write them without the system's output, and the appeal route. Part two: specify the quarterly view for the elected level: the six items the chapter lists, each with its evidence and how its age is shown, and who presents it.

Deliverable: One decision record for an AI-supported public decision and a one-page specification of the quarterly view with evidence and age per item.

Self-test

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

  1. What does the chapter propose that Nordvik Region's decision AIDR-1018 should do?

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    C. Keep the triage rank out of the grounds and out of the reasons of the decision
    The system orders the queue; it is not a ground for the decision. Keeping the rank out of grounds and reasons preserves a decision that rests on circumstances the official can name and defend without the system.

  2. In the council's quarterly view, what does a rate near zero at which caseworkers depart from the system's advice signal?

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    B. That rubber-stamping may be taking place in the case decisions
    The table reads a departure rate near zero as a signal of rubber-stamping and a pattern across groups as a signal for the equality review, with sample method, period and size stated.

  3. According to the chapter, what did Green argue after surveying 41 policies that prescribe human oversight of government algorithms?

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    A. That people cannot perform the oversight the policies assume, so the policies can legitimise faulty algorithms
    Green proposed institutional oversight, with justification of the algorithm and democratic review before adoption, as the central mechanism. The chapter holds this beside experiments that found no automation bias as such but selective adherence.