Seven Minute Modules

Journey

AI-Safe Municipality

Dutch programme name: AI-veilige gemeente

A traceable learning journey for municipal teams working with AI, personal data and public-sector responsibility. Short modules. Practical decisions. Governed sources. Visible assurance.

View the journey map See the first module Resources Evidence layer
AI-Safe Municipality journey overview. Four principles: safe and confidential, human and accountable, practical and applicable, evidenced and revisable. A flow of checks before using AI with personal data: privacy first, source and quality control, human review, and consultation and accountability. Delivered in short seven-minute modules.
The AI-Safe Municipality journey at a glance.

What this journey is for

Municipal staff increasingly use AI tools to draft, summarise, analyse and support their work. The risk is not only whether AI is allowed, but whether people know what to check before they use it.

This journey teaches practical decision routines: when to stop, when to ask, what data may be used, which tools are approved, and how to keep human responsibility visible.

Who it is for

One journey, three audiences, each with a different job to do.

Frontline and office staff

Anyone who drafts, summarises or analyses with AI tools and works with personal data. They learn the three checks to run before they paste.

Team leads and managers

The people who set expectations, answer the day-to-day questions, and keep AI-safe behaviour on the agenda in team meetings.

Privacy and security officers

The data protection officer and CISO who need staff to recognise when to stop and ask, and who want the evidence behind the training.

Journey map

The shape of the journey: its place in the hierarchy, its objective, and the components that make it up.

Theme
AI literacy / public-sector professionalism / privacy behaviour
Topic
AI-safe use of personal data
Objective
Municipal employees can recognise when AI use with personal data is allowed, risky or not permitted, and know when to stop and ask for help.

  1. Rise module

    AI-safe use of personal data

    Internal proof

    Open the module

  2. Job aid

    Three checks before using AI

    Internal proof

    Download the job aid (PDF)

  3. Manager guide

    How to discuss AI-safe behaviour in team meetings

    Coming soon

  4. Assignment

    Bring one real AI-use case and apply the three checks

    Coming soon

  5. Podcast

    Why AI safety is not just an IT topic

    Coming soon

  6. Video

    The three checks in practice

    Coming soon

  7. Debrief format

    Team discussion after the first workplace cases

    Coming soon

  8. Assessment

    Scenario-based check

    Coming soon

Available now

Internal proof

KB-AIDATA-001 · Dutch

AI-veilig werken met persoonsgegevens

A seven-minute Dutch module for municipal staff. Learners practise three checks before using AI with personal data:

  1. Is the tool approved?
  2. Are the data allowed?
  3. Is the purpose appropriate?

Includes a Rise module, a job aid, three scenario decisions, one retrieval moment and one if-then plan.

This module is concept G6.2, internal proof. It is previewable as a demonstration of the production line, not published guidance.

Open the module detail page See the module

Coming next

Status labels keep this honest: you can see what is live, what is in production, and what is planned, without pretending everything already exists.

  • Available Published, usable as-is.
  • Internal proof Previewable demonstration, not published guidance.
  • In production Being built now.
  • Under review In a review gate.
  • Coming soon Planned, not yet built.

Below the surface

What makes this different is not the output format. The Rise module is only the visible layer. Underneath sits a governed production trail: source intake, claim extraction, review gates, assurance records, rendering records and regeneration notes. This is how 7MM keeps short learning from becoming disposable learning.

Open the evidence layer