Module 04 · 16 minutes
Inclusion and Surveillance
Manage workload, surveillance, inclusion, team agreements, and role transitions as AI changes work.
Written and edited by Cahyanto Arie Wibowo. Last reviewed · version 1.2.
How does the idea of “Inclusion and Surveillance” change the decision we make?
This is Future of Work through a practical look at Inclusion and Surveillance, with attention to evidence, trade-offs, and uncertainty. Connect Inclusion and Surveillance to evidence someone else can check. A confident claim is not enough when its source and limits are hidden. After this lesson, you can assess an explanation of Inclusion and Surveillance by checking its source, evidence, and unknowns.
After this lesson
- This is Future of Work through a practical look at Inclusion and Surveillance, with attention to evidence, trade-offs, and uncertainty.
- Use the idea of “Inclusion and Surveillance” to interpret one realistic situation.
- Explain the limits of the concept and the information that still needs to be checked.
Start with the situation
Understand the situation first. The label can come later.
Higher productivity is not healthy when people lose control and their workload keeps growing. This lesson uses the idea of “Inclusion and Surveillance” to examine that situation without treating a single term as the answer to every problem.
This is Future of Work through a practical look at Inclusion and Surveillance, with attention to evidence, trade-offs, and uncertainty. Manage workload, surveillance, inclusion, team agreements, and role transitions as AI changes work. Connect the term to a decision someone genuinely needs to make.
Do not rush the choice
Two ways to look at Inclusion and Surveillance
Useful when
- This is Future of Work through a practical look at Inclusion and Surveillance, with attention to evidence, trade-offs, and uncertainty.
- Use the idea of “Inclusion and Surveillance” to interpret one realistic situation.
- This is Future of Work through a practical look at Inclusion and Surveillance, with attention to evidence, trade-offs, and uncertainty. Manage workload, surveillance, inclusion, team agreements, and role transitions as AI changes work. Connect the term to a decision someone genuinely needs to make.
Pause and check
- Efficiency cannot be the only measure when redesigning work. This mistake often appears when a label is used before the problem is understood. Write down your assumptions so another person can review them.
- Explain the limits of the concept and the information that still needs to be checked.
The stronger choice is the one whose evidence, owner, and limits can be explained, not simply the more sophisticated option.
Visual model
Map the parts before choosing what to do.
Read the diagram as a map of Inclusion and Surveillance: begin with the context, follow the connections, and inspect the highlighted point before making a decision.
Let’s see how it works
Reading the situation in practice
Connect Inclusion and Surveillance to evidence someone else can check. A confident claim is not enough when its source and limits are hidden. Begin with what can be observed, then separate facts, assumptions, and open questions.
Higher productivity is not healthy when people lose control and their workload keeps growing. Identify the part of the situation most closely connected to the idea of “Inclusion and Surveillance”. Use the case as a thinking tool, not as proof that one solution fits every context.
Pause for a moment
What evidence could change this decision?
Answer before opening the discussion. Name one fact and one assumption.
Open the discussion
This is Future of Work through a practical look at Inclusion and Surveillance, with attention to evidence, trade-offs, and uncertainty. Connect Inclusion and Surveillance to evidence someone else can check. A confident claim is not enough when its source and limits are hidden. After this lesson, you can assess an explanation of Inclusion and Surveillance by checking its source, evidence, and unknowns.
A tempting shortcut
A familiar term can still lead us to the wrong decision.
Why this can seem reasonable
Efficiency cannot be the only measure when redesigning work. This mistake often appears when a label is used before the problem is understood. Write down your assumptions so another person can review them.
How to check it
Connect Inclusion and Surveillance to evidence someone else can check. A confident claim is not enough when its source and limits are hidden. Begin with what can be observed, then separate facts, assumptions, and open questions.
Try it on your work
Try it with one small piece of real work.
- Choose one real situation related to Inclusion and Surveillance.
- Separate what you can observe from what you are assuming.
- Write one decision, its owner, and the evidence needed to review it.
- Name the signal that would make you stop or change direction.
Choose a task you know. List what is known, what is still an assumption, and what must be tested before using the idea of “Inclusion and Surveillance”. The larger module activity is: Prepare a human-AI work plan that protects both outcomes and team well-being. Keep the first version small enough for another person to review in a few minutes.
Quick practice
Choose a task you know. List what is known, what is still an assumption, and what must be tested before using the idea of “Inclusion and Surveillance”. The larger module activity is: Prepare a human-AI work plan that protects both outcomes and team well-being.
Summary
- This is Future of Work through a practical look at Inclusion and Surveillance, with attention to evidence, trade-offs, and uncertainty.
- Use examples and evidence to test your understanding.
- Record the limits, risks, and conditions that should trigger another review.
Continue from here
- Transition Planning: Continue the idea from Human-Centered Ways of Working with a closely related example.
- Decision Rights: Connect this lesson to Leadership and test the idea in another context.
- Monitoring and Incidents: See how the same decision changes when viewed through AI Ethics.
Sources and further reading
- Artificial intelligence and the world of work: International Labour Organization · official-research. Primary reference for the definition, evidence, or limits discussed in “Inclusion and Surveillance”.
- Recommendation on the Ethics of Artificial Intelligence: UNESCO · official-recommendation. Further evidence and context for checking the explanation in “Inclusion and Surveillance”.
- A guide to data protection: data minimisation: UK Information Commissioner’s Office · official-guidance. Further evidence and context for checking the explanation in “Inclusion and Surveillance”.