About this program

Purpose

This program helps two audiences build practical, risk-aware AI literacy:

  1. Employees who use AI tools in their daily work and need to make good judgment calls — about verification, data, bias and oversight.
  2. Students aged 14–16, who are growing up with AI and need to understand how it works, where it fails, and when it helps or harms learning.

It was designed to support organizations’ Article 4 (EU AI Act) AI literacy measures and schools’ use of the OECD/EC AILit framework. It is not legal advice and it does not certify anyone. Article 4 requires providers and deployers to take measures to support AI literacy; it explicitly does not require any individual to reach a specific level of literacy.

How to adapt it

All learning content is CC BY 4.0. You can reuse, translate and adapt it with attribution. Practical notes:

  • Modules are modular. Each workplace module stands alone. You can deliver them in any order, though 1 → 4 is the intended sequence.
  • Swap the organization. Northwind Logistics is fictional. Replace its examples with your own organization’s scenarios, data rules and escalation contacts.
  • Reading level. Workplace text targets B1 plain English (about grade 8) for multilingual workforces. Keep that level when you adapt.
  • The job aid is the takeaway. Adapt Verify before you send to your tools and policies — that single page often matters more than the modules.
  • School lessons need no devices. Every lesson has an unplugged fallback in the teacher guide.

AI-assisted authorship

This curriculum was drafted with AI assistance and reviewed by the author, as disclosed in the repository README. Factual claims about the EU AI Act and the AILit framework were checked against primary sources (listed in the repository’s research/sources.md), with the review date shown on each page. Known limits: terminology and policy summaries can date quickly — check the “Last reviewed” stamps.

License

Third-party material is attributed in the repository’s ATTRIBUTION.md.

Last reviewed: 2026-10-25