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Self-paced / 8–10 hours / Free

AI Policy in Practice

From a big question to a useful recommendation.

Learn the craft of AI policy: define a problem, judge evidence, navigate institutions, compare interventions and write a recommendation someone can act on.

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Who it’s for

Policy professionals, researchers, advocates and people moving into AI policy.

Before you begin

Basic familiarity with AI and its policy debates. No coding, economics degree or previous government role required.

What you’ll make

A decision briefing and delivery plan for a fictional AI recruitment policy case.

The full curriculum

Learn the method.
Practise the judgment.

Read, apply, check and reflect. Each lesson includes an exercise, worked answer and knowledge checks. Read the selected sections, work through the fictional evidence packet and explain a decision before comparing with the example. Most time is spent on the exercises, not reading the lesson text.

UK-led practical cases, with international frameworks and research. For another jurisdiction, replace the institutional and legal assumptions; this course is not a comprehensive survey of global AI policy.

Edition 2026-10-13 · reviewed edition · Time estimates include teaching, selected external readings, case exercises and the capstone; pace will vary.

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