Curriculum overview

Audience

This curriculum is for staff of Canadian humanitarian and development organizations. Participants may work in program, operations, technical, or leadership roles. Some will be new to AI. Others will already use approved tools at work.

No paid AI account is required. No real beneficiary, staff, donor, or partner records are used in exercises.

Prerequisites

Learning pathway

Session Level Focus Duration
Session 1 Level 1 Responsible AI foundations 90 minutes
Session 2 Level 2 Verified work by role 90 minutes
Session 3 Level 3 Governance and adoption 90 minutes
Follow-up clinic All levels Workplace application 60 minutes

Sessions are designed to be delivered once per month. Optional ten-minute practice between sessions uses only fictional or approved low-risk tasks.

Learning outcomes

By the end of the series, participants will be able to:

  1. Screen a task using a seven-step risk screen and record a green, amber, or red decision with a named owner.
  2. Compare AI-supported drafts to authorized sources and mark unsupported claims, contradictions, and harmful omissions.
  3. Improve a prompt by naming the task, audience, permitted sources, output format, and a rule for missing facts.
  4. Protect data by refusing to enter personal or sensitive operational information into unapproved tools.
  5. Name human control points including who approves, can override, and provides remedy.
  6. Draft a bounded pilot charter with a non-AI baseline, consultation requirements, success measures, and a safe exit.

Time plan

Week Activity Participant time
Before Session 1 Pre-assessment (optional) 10 minutes
Month 1 Session 1 + worksheet 90 minutes
Between 1 and 2 Optional practice screen 10 minutes
Month 2 Session 2 + worksheet 90 minutes
Between 2 and 3 Optional prompt improvement 10 minutes
Month 3 Session 3 + worksheet 90 minutes
Month 4 Follow-up clinic 60 minutes
End Post-assessment (optional) 10 minutes

This kit aligns with federal automated decision-making guidance and OPC generative AI principles. Organizations must also apply PIPEDA (and Quebec Law 25 where relevant), provincial privacy laws, and accessibility standards such as the Accessible Canada Act and AODA (Ontario) to their own materials and platforms. References point to primary sources; this kit is not legal advice.

Indigenous data sovereignty and partner-led governance are named in Session 3. Classroom exercises are not a substitute for nation-specific or community-led consultation.

Adapting for 15 to 40 participants

For skills assessment during case practice, facilitators should aim for no more than 8 participants per breakout group so each person can complete the worksheet. At 31 to 40 attendance, use parallel breakouts with co-facilitators or accept worksheet submission within 48 hours for rubric scoring.

Group sizing

Attendance Suggested groups Notes
15 to 20 3 to 4 groups of 4 to 5 Start in pairs within groups
21 to 30 4 to 5 groups of 5 to 6 Rotate reader, recorder, risk challenger, source checker
31 to 40 5 groups of 6 to 8 Use pairs for breakout tasks; plenary debrief; consider co-facilitator

Online delivery

In-person delivery

Low-bandwidth adaptations

Materials included

Each session folder contains:

Additional resources: eight synthetic case studies, pre/post assessment, skills rubric, evaluation form, decision guide, data-responsibility checklist, facilitator guide, participant handbook, and references.

Assessment approach

Performance scenarios scored with the four-point skills rubric are the primary pre/post measure. Five self-efficacy items are secondary. An optional 12-item knowledge check supplements reporting. See the assessment folder for scoring guidance and how to read small samples constructively.

Delivery and adaptation resources

Evidence matrix

Requirement How the kit addresses it Primary sources
Responsible AI use Seven-step screen; G/A/R decisions in every session IASC 2023; UNESCO 2021; OPC 2023
Data responsibility Checklist; protection and sharing cases IASC 2023; OCHA 2025; ICRC Handbook 3rd ed.
Verification Source-check tables; Session 2 prompt lab Consensus literature on verification gaps
Humanitarian protection Protection lens; chatbot and SMS cases Fundamental Principles; ICRC AI policy 2024
Governance and adoption Pilot charter; vendor pitch case Canada ADM directive; UNHCR AI approach
Canadian context PIPEDA, AODA, ACA references Government of Canada; OPC

Licence and use

Content is licensed CC BY 4.0. Code is licensed Apache-2.0. You may adapt, translate, and reuse with attribution. These are learning materials, not a record of delivered training.