Lesson 7 of 12

Structured learning draft

Options with EU AI Act

In AI Policy: From Principles to Legislation, the way a learner handles options shapes how EU AI Act is used and evaluated. Policy options are compared against explicit criteria. This beginner lesson focuses on a decision or output that another person can inspect.

Learning objectives

Explain options in the context of AI Policy: From Principles to Legislation.
Apply EU AI Act to a bounded practical task.
Evaluate the result using explicit quality criteria.

Instructional figureSide-by-side comparison

Options: from context to evidence

Options connects public need and evidence to a accountable outcome in AI Policy: From Principles to Legislation.

Public need and evidence

Define the purpose, intended user and EU AI Act constraints.

frames

Options

Include capacity, distribution and a no-action baseline.

produces evidence for

Accountable outcome

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

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

Policy options are compared against explicit criteria. For EU AI Act, distinguish performing an operation from demonstrating that it suits the stated purpose. Include capacity, distribution and a no-action baseline. Record assumptions that could change the conclusion.

Apply options deliberately

State the AI Policy: From Principles to Legislation task and the decision it supports.
Prepare a small EU AI Act case with a known input and difficult boundary.
Include capacity, distribution and a no-action baseline.
Compare the observed result with the expected behaviour and explain differences.
Save the evidence, limitation and next action in a review record.

options evidence record
Review point	Evidence
Purpose	The specific EU AI Act outcome and intended user
Method	The options 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 EU AI Act before defining what options must achieve.
Checking only the easiest AI Policy: From Principles to Legislation example.
Reporting a result without its input, assumptions or limitation.

Practice activity

Apply the lesson

For AI Policy: From Principles to Legislation, complete a bounded EU AI Act task demonstrating options. 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 Policy: From Principles to Legislation, which evidence best supports a options result produced with EU AI Act?

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

Lesson summary

For AI Policy: From Principles to Legislation, options means: Policy options are compared against explicit criteria.
A credible EU AI Act result includes a checked boundary, not only a successful example.
The next lesson builds on this options evidence record.

Sources and further reading

Open Government Data ToolkitWorld Bank - accessed 2026-08-21
Digital governmentOECD - accessed 2026-08-21

Personal study note

Your notes

Saved on this device

Notes for this lesson

0 / 12,000No saved note yet.