1 day

Discovering and using AI

Artificial intelligence at the service of international solidarity work

Duration — 1 day (7 h)
Format — In person
Audience — ISO operational teams

An intensive day to get hands-on with the generative AI tools most useful day to day: grant writing, reports, donor communication, data analysis and task automation.

📅 2 days

Introducing and governing AI within your organisation

Artificial intelligence at the service of international solidarity work

Duration — 2 days (14 h)
Format — In person
Audience — ISO managers, leads, executive teams

A 2-day course to build AI literacy rooted in the realities of the sector. It is organised around three axes — how AI works, risks, organisational identity — and aims to build collective, sustainable governance of AI.

1-day course

Discovering and using AI

This intensive day enables non-profit professionals to get hands-on with the generative AI tools most useful in their daily work.

Course objectives

  • Understand how generative AI tools work and where their limits lie
  • Master the main features and apply them to real cases in the daily work of ISOs
  • Know how to verify, spot unreliable outputs and build on your usage through memory and persistent instructions
  • Practise responsibly with regard to sensitive data (GDPR, AI Act article 4, anonymisation)
  • Develop an understanding of relevant uses for yourself and your organisation

Target competencies — the 5D framework

Understanding An accurate mental model of an AI system and its limits
Delegation Deciding what to entrust to AI, and at the right level of ambition
Description Stating the request clearly and providing the useful context
Discernment Assessing output quality, verifying, building on what works
Diligence Responsible, transparent use — sensitive data, GDPR, AI Act
Detailed programme

Schedule for the day

9:30
Grounding

Welcome and framing

Present the framework, the collective and the promise of the day. Situate each person's relationship to AI.

10:00
Understanding

Demystifying AI

Build a mental model of an LLM. Tell reliable from unreliable. Situate the main tools on the market.

10:45

⏸ Break — 15 minutes

11:00
Description

Framing your request — Frame → Evaluate → Iterate

Co-building good practices on real cases: formulating, refining and capitalising on an AI request adapted to one's professional context.

12:30

🍽 Lunch — 1 hour

13:30
Diligence

Managing AI risks: stakes for ISOs

Human skills to mobilise within the 4D framework. GDPR, AI Act, sensitive data and good compliance practices.

14:00
Discernment

From model case to real work

Verify outputs, build a multi-step workflow, capitalise the context within the tool.

15:30

⏸ Break — 15 minutes

15:45
Delegation & Discernment

Gallery of cases to improve

Diagnose a series of AI cases (failures, poorly calibrated, successes) and propose a remediation.

16:30
Understanding & Description

Complementary tools

Discover 2 or 3 tools useful to the profiles in the room and envision organisational uses.

17:15
Consolidating

Wrap-up and evaluation

Formulate 1 or 2 actions to put in place, receive the memo sheet and self-assess what you have learned.

2-day course

Introducing and governing AI within your organisation

This 2-day course builds AI literacy rooted in the realities of the sector. It is organised around three axes: understanding how generative AI works; identifying its risks and limits; and drawing on the organisation's identity and mission to ground its adoption in its values and mandate.

Specific objectives

  • Diagnose the current state of AI use and assess the risks and opportunities for your organisation
  • Understand the fundamental mechanisms, capabilities and limits of AI systems and identify value-adding use cases
  • Identify the risks linked to AI use and know how to discuss them when defining strategic objectives
  • Know the human skills that foster a responsible and effective adoption of generative AI
  • Know the fundamentals of the technical environment that conditions the adoption of an AI tool
  • Learn from concrete sector use cases (what works and what challenges to anticipate)
  • Collectively define a framework for the responsible use of AI within your organisation

Target competencies

  • Be able to situate AI in the context of your organisation: stakes, risks and opportunities for ISOs
  • Know how to assess the relevance and limits of generative AI tools in your professional practices
  • Be able to identify and experiment with value-adding use cases, consistent with your mandate and values
  • Know how to define and collectively champion a framework for the responsible use of AI within your organisation
Detailed programme

Schedule over 2 days

9:15
Introduction

Welcome and framing

Present the framework, the collective and the promise of the day. Situate each person's relationship to AI.

9:30
Axis 3 — Identity & mission

Starting diagnosis

Assessment of current AI uses, identification of risks and opportunities for your organisation.

10:45

⏸ Break — 15 minutes

11:00
Axis 1 — AI capabilities

Understanding AI

Modalities, workings and capabilities of generative AI systems. Value-adding use cases for ISOs.

12:30

🍽 Lunch — 1 hour

13:30
Axis 3 — Identity & mission

AI in the humanitarian sector

Overview of current uses: what is being done, what works, the limits observed in the field.

14:00
Collective dynamic

Case study

Analysis of an AI use case by an ISO, drawn from a library of real cases.

15:30

⏸ Break — 15 minutes

15:45
Collective dynamic

Collective debrief: lessons learned and good practices

Pooling of analyses, building shared reference points from the cases studied across the sector.

16:30
Environment & IS

Understanding information systems: the technical framework of an AI project

Infrastructure, implementation conditions and technical requirements that condition the adoption of an AI tool.

17:15
Consolidating

Wrap-up of day 1 and preparation for day 2

9:15
Introduction

Recap of day 1

Consolidation of the previous day's learning, answers to outstanding questions.

9:30
Axis 2 — Managing AI risks

Managing AI risks: stakes for ISOs and compliance responsibilities

Identify the risks linked to the use of generative AI and understand the regulatory framework applicable to ISOs.

10:45

⏸ Break — 15 minutes

11:00
Putting into practice

Practical workshop: choose a use case and sketch an AI governance framework

In groups, participants select a use case relevant to their organisation and begin building their AI governance framework.

12:30

🍽 Lunch — 1 hour

13:30
Individual skills & posture

Human skills: the 4D framework

Introduction to the 4D framework — Describe, Discern, Delegate, Diligence — and its implications for the responsible adoption of AI.

14:00
Putting into practice

Practical workshop (continued): integrating the 4D framework into the use case

Continuation of the morning workshop: participants integrate the 4D framework into their use case and finalise their recommendations.

15:30

⏸ Break — 15 minutes

15:45
Axis 3 — Identity & mission

Collective debrief of workshops and evaluation of results

Presentation of the use cases and governance frameworks developed by each group. Cross-feedback and collective enrichment.

16:30
Enabling factor

Lessons learned from the sector: feedback and perspective

Putting the learnings into perspective with the practices of the international solidarity sector.

17:00
Consolidating

Wrap-up of the course and opening towards collaboration

On-the-spot evaluation, individual and collective commitment, opening towards collaboration and action.

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