AI Boss · Module 2 · The AI Boss Today

Performance Scores, Productivity Metrics and Dismissal by Algorithm

The lesson examines how individual performance scores are built, what they miss, and how they become decisions about pay, discipline and dismissal. Participants compare the reported cases from Baltimore, Amazon Flex, Xsolla and Amsterdam, learn the three administrative channels from M2 Evaluation to M3 Consequence and the five conditions that keep a score advisory, and run the practice test that showed Hansa Mutual's sales-performance score to be decisive in one unit.

Lesson 8 of 33Chapter 875 minutes

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All courses / AI Boss / Module 2 / Chapter 8

Learning objectives

After the lesson the participant can:

Key concepts

Three channels
The pay input, where the manager's assessment converges on the score because departing requires an explanation; the warning, a threshold notice that is dated, filed and later cited; and the list, where the bottom of a ranking becomes the shortlist.
Decisive in practice
A score classified as advisory that is followed in nearly every case, in seconds, with few recorded departures. If two or more alerts of the practice test fire, the use is treated as Level 3 Bounded or above and suspended.
Five conditions for an advisory score
The manager forms a view before seeing the score; thresholds trigger a conversation, not a sanction; the score is never the sole ground; the worker sees what the manager sees; and departures are expected and recorded.
Seeded cases
Test cases agreed with the representatives in which the score misreads the work, such as approved leave counted as low activity; at least three per unit per year, removed before any real decision.
Recorded exclusion
A use of AI that an organisation has decided against and written into the profile, such as discipline or dismissal. A recorded exclusion can be audited, whereas an absence can quietly be filled.

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

Where the human stood

Match each reported case from Chapter 8 with where the human stood in it, as the chapter describes.

Interactive exercise 2 · Scenario

Two alerts in the practice test

Apply the chapter's practice test for a performance score classified as advisory to the situation below.

Teaching plan

10 minThe teacher builds a score in three layers on the board and asks participants which parts of their own work would leave no log.
15 minParticipants complete the chapter's table for the four cases, then discuss the Horizon lesson about treating system output as fact.
15 minPresentation of GDPR Article 22 as read in SCHUFA and Amsterdam, German and Swedish dismissal law, the three channels and the five conditions.
25 minExercise: groups design the practice test for one score and apply it to the figures of the Dutch sales unit in the worked example.
10 minDebrief on how to run the test without monitoring individual managers, and on what is reported to representatives and to the workers affected.

Discussion

  1. At Xsolla a named executive took the decision but the analysis chose the people. Does a named decider satisfy the book's rule in that case, and what is missing?
  2. The chapter says a manager's assessment converges on the score because departing requires an explanation and following does not. How could an organisation reverse that asymmetry?
  3. Neither organisation uses AI in discipline or dismissal, and both record that as a decision. What is gained by recording something an organisation does not do?

Written exercise

Exercise · 25 minutes

Is the score decisive in practice?

Design a practice test for one score used as an input to a consequence: Hansa Mutual's sales-performance score under DLG-HM-SPS-01, or a score in your own organisation. Agree the design as if with the representatives: results per unit of at least ten managers, never per named manager. Define how you will measure agreement with the score band, departures and their written reasons, and the time from opening the score to the decision, with the chapter's default alerts. Specify three seeded cases. Then apply the test to the Dutch sales unit as the chapter reports it, classify the result and write the measures that follow.

Deliverable: A one-page test design with measures, alert thresholds and seeded cases, plus a classification of the Dutch sales unit and the corrective measures for the delegation register.

Self-test

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

  1. What did the review of CNT-HM-0001 find in Hansa Mutual's Dutch sales unit?

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    C. 97 per cent of pay proposals matched the score band, with a median of 48 seconds from opening the score to recording the proposal
    The profile said Level 0 Advisory for M3 Consequence, yet the figures showed the score decisive in practice in one unit. The score was recalculated against the market baseline and the proposal re-made with the manager's own assessment first.

  2. In SCHUFA, what did the Court of Justice hold about an automated score?

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    A. It is itself automated decision-making where a third party draws strongly on it to establish, implement or terminate a contractual relationship
    The Court reasoned that treating the score as a preparatory act would risk circumventing Article 22. The chapter concludes that labelling a score advisory does not settle the question; whether the decider draws strongly on it does.

  3. According to the first of the chapter's five conditions, what must happen before a score is shown to a manager for an M3 Consequence use?

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    D. The manager records a short assessment of the work, forming a view first
    The first condition is that the manager forms a view before seeing the score. It applies the series' conclusion that review must not start from the AI's answer.