Lesson 6 of 12

Structured learning draft

Impact with Automation

In AI's Impact on Work & Society, the way a learner handles impact shapes how Automation is used and evaluated. Impact assessment anticipates consequences and mitigations. This beginner lesson focuses on a decision or output that another person can inspect.

Learning objectives

Explain impact in the context of AI's Impact on Work & Society.
Apply Automation to a bounded practical task.
Evaluate the result using explicit quality criteria.

Instructional figureDecision matrix

Impact: from context to evidence

Impact connects affected people and context to a documented mitigation in AI's Impact on Work & Society.

Affected people and context

Define the purpose, intended user and Automation constraints.

frames

Impact

Record intended use, misuse and affected-party evidence.

produces evidence for

Documented mitigation

Compare the observed result with a normal case, boundary case and stated limitation.

Takeaway: Impact is credible only when the result can be traced back to its purpose, inputs and constraints. Impact is the decision layer between the starting context and evidence that the result is fit for purpose.

Impact assessment anticipates consequences and mitigations. For Automation, distinguish performing an operation from demonstrating that it suits the stated purpose. Record intended use, misuse and affected-party evidence. Record assumptions that could change the conclusion.

Apply impact deliberately

State the AI's Impact on Work & Society task and the decision it supports.
Prepare a small Automation case with a known input and difficult boundary.
Record intended use, misuse and affected-party evidence.
Compare the observed result with the expected behaviour and explain differences.
Save the evidence, limitation and next action in a review record.

impact evidence record
Review point	Evidence
Purpose	The specific Automation outcome and intended user
Method	The impact decision, input and version or context
Result	Observed output plus a checked boundary case
Limitation	What the result does not establish and the next safe action

Common mistakes

Using Automation before defining what impact must achieve.
Checking only the easiest AI's Impact on Work & Society example.
Reporting a result without its input, assumptions or limitation.

Practice activity

Apply the lesson

For AI's Impact on Work & Society, complete a bounded Automation task demonstrating impact. Keep the original input, numbered method, normal test, boundary test, observed results and a 100-word self-review naming one limitation and next improvement.

Check your understanding

In AI's Impact on Work & Society, which evidence best supports a impact result produced with Automation?

A polished Automation output without its input The input, expected behaviour, normal and boundary results, and a limitation A screenshot showing the tool opened A claim that the method always works

Lesson summary

For AI's Impact on Work & Society, impact means: Impact assessment anticipates consequences and mitigations.
A credible Automation result includes a checked boundary, not only a successful example.
The next lesson builds on this impact evidence record.

Sources and further reading

Recommendation on the Ethics of AIUNESCO - accessed 2026-08-21
AI PrinciplesOECD - accessed 2026-08-21

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