The AI Boss Defined: Management Functions, Degrees of Delegation and Accountability

All courses / AI Boss / Module 1 / Chapter 4

Learning objectives

After the lesson the participant can:

• Apply the chapter's definition to decide whether a given system is an AI boss.
• Assign action classes to functions by their effect and compare their degree with the default ceilings.
• Explain the six capabilities of a named human decider and the two accountability failures they answer.
• Draft a delegation profile with deciders, playbook, excluded inputs, stop path and review.

Key concepts

AI boss

Any AI system or agent that performs part of a management function for or over a person. It acts for a person when it assists a manager who remains the one acting, and over a person when its output reaches the worker directly or takes effect without a manager acting.

Default ceiling

The highest degree an organisation should allow for a function unless a recorded decision justifies otherwise, set by reversibility for the person, breadth, the person's stake, and the law and agreements.

Named human decider

Not a signature. The decider can be identified, can decide otherwise with real authority, sees the information, has the time, is protected when deciding against the recommendation, and answers for the decision.

Moral crumple zone

Elish's term for responsibility misattributed to a human actor who had limited control over an automated system. In management it is the line manager who confirms a dismissal a score recommended without the means to decide otherwise.

Delegation profile

States for one system or team the degree per function and action class, the decider, the representatives' agreement, the stop path and the review. It also records the functions the system does not perform and the inputs it may not use.

Interactive exercises

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

Teaching plan

Discussion

1. The chapter says Hansa's claims assistant becomes part of an AI boss on the day its usage logs become a figure per handler. What does it mean that the boundary is crossed by a decision about data and not by a change in the model?
2. Reversibility is judged from the position of the person affected: the evening a nurse arranged childcare for cannot be given back. How does that change the way you would classify routine scheduling actions?
3. Open question Q2 asks who is accountable when a manager accepted a recommended consequence without reading it. What do you make of the chapter's answer that accountability can move to whoever set the volume?

Written exercise

Self-test

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

1. Why do Nordvik Region's open-shift offers sit at Level 3 Bounded in DLG-NR-ROS-01 without exceeding the ceilings of M2 Evaluation and M3 Consequence?

   1. Because the unit manager approves each individual offer before it reaches the staff who opted in, which keeps the action at Level 2 Supervised
   2. Because the supplier has certified that the system is not high-risk
   3. Because open shifts are classified as M5 Care, which allows protective blocks
   4. Because acceptance history and sick-leave history are excluded as inputs, so the action does not rank people
   Show the answer

   D. Because acceptance history and sick-leave history are excluded as inputs, so the action does not rank people
   The chapter says the class sits at Level 3 Bounded only because of the excluded inputs; without that exclusion the action would rank people and exceed the ceilings of M2 Evaluation and M3 Consequence.

2. What is the default ceiling the chapter sets for an adverse M3 Consequence decision, such as rejecting an applicant or dismissal?

   1. Level 0 Advisory
   2. Level 1 Assisted
   3. Level 2 Supervised
   4. Level 3 Bounded
   Show the answer

   B. Level 1 Assisted
   For adverse consequences the ceiling is Level 1 Assisted: the system drafts and a named person decides with their own authority. Level 2 Supervised applies to favourable or neutral consequences applying a rule already decided.

3. According to the chapter, what is Level 3 Bounded without a written playbook enforced outside the model?

   1. Level 4 under another name
   2. Level 2 Supervised with a faster approval
   3. A Mode 0 Ambient AI feature
   4. An acceptable default for M1 Direction
   Show the answer

   A. Level 4 under another name
   The line between Level 2 and Level 3 is where per-decision approval stops; the playbook is what bounds the system, so without one enforced outside the model the system in effect acts at Level 4 Autonomous.