AI policy: Public problems
Apply AI policy through stakeholders, institutions, evidence.
Beginner / Structured learning draft / Version 0.9
Structured learning draftAI Policy: From Principles to Legislation
Use evidence to explain a public-interest problem. You will finish with an evidence brief with a reproducible analysis.
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Policy & civic techTool stack
D3
12guided lessons
4focused modules
1reviewable project
PDFoffline workbook
The problem
What this course helps you do
AI Policy: From Principles to Legislation is a structured, practical course covering AI policy, EU AI Act, US AI policy, Governance, Regulation. It emphasizes explainable methods, checked work and a final outcome that can be reviewed.
Who it is for
Public-interest learners using evidence and technology responsibly.
Prerequisites
- Basic research and spreadsheet skills
Portfolio-ready project
Produce a reviewable AI Policy: From Principles to Legislation project using AI policy, EU AI Act, US AI policy.
Deliverable: A working AI Policy: From Principles to Legislation artefact plus an evidence-based self-review.
Practice fileEvidence brief templateA source-led public-interest analysis structure.Planning template · MarkdownProject briefDefine the user, outcome, boundaries, evidence and acceptance criteria before building.Printable workbook · PDFComplete course workbookA4-ready lesson prompts, project worksheets, evidence logs and references.
Downloads open without an account. Practice data is fictional; review each file before using it in another system.
Definition of done
- The output matches the stated outcome.
- Inputs and decisions are reproducible.
- Boundary and failure evidence is included.
- Limitations and responsibility considerations are explicit.
Course plan
From first concept to finished work
EU AI Act: Digital methods
Apply EU AI Act through open data, services, participation.
US AI policy: Policy design
Apply US AI policy through options, impact, implementation.
Governance: Accountability
Apply Governance through measurement, transparency, maintenance.
Source-led learning
Authoritative references
Course claims are grounded in primary documentation and recognized public guidance. Recheck version-sensitive information before professional use.
- Open Government Data ToolkitWorld Bank
- Digital governmentOECD