Thomas Byrnes
Lead facilitator
15+ years in humanitarian operations across 20+ countries, lead author of the GIZ DCI AI Hub Global Evidence Review, and the Rights-Based Risk Framework for AI in Social Assistance.
The AidGPT programme
Responsible AI training for complex, accountable work.
Build practical AI capability through live practice, visible safeguards and professional judgement.
Programme shape
Six live sessions
The experience builds from ordinary chat and well-briefed work towards reusable setup, bounded reach, work across files with checkpoints and accountable adoption.
- Human judgement
- Think, Draft, Review. An accountable human decides.
- Bounded reach
- Use the least power needed for the task.
- Accountable work
- AI is useful only when a professional can explain, check and own the result.
The learning journey
Six sessions. One connected practice journey.
The programme builds from one well-briefed task to responsible adoption, with a usable decision and practice habit at every stage.
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One Good Task
Frame one meaningful task with the context, evidence and quality standard it needs.
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Challenge the First Answer
Treat the first response as a draft: test assumptions, check evidence and decide what to fix.
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Save the Working System
Turn a useful exchange into a reusable working pattern with deliberate context and ownership.
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Connect with Bounded Reach
Decide what an AI system may reach, trust and do before granting access to tools or information.
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Work Across Files with Checkpoints
Work across several records while keeping sources, review points and the accountable decision visible.
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Govern and Adopt
Decide what should persist, what needs governance and what should not be adopted.
Observable outcomes
What learners should be better able to do
By the end of the programme, learners should be better able to:
- Outcome 1:brief one meaningful task with enough context and a clear standard of quality
- Outcome 2:challenge a first answer and show what was checked
- Outcome 3:save useful context and reusable working patterns deliberately
- Outcome 4:use connected capabilities with bounded reach and explicit stop decisions
- Outcome 5:work across files with checkpoints and ownership
- Outcome 6:decide what should be adopted, governed or left alone
Practice boundary
Practice without production data
The course does not require real organisational or personal data. Learners may later apply the disciplines to approved work through their organisation’s authorised tools, policies and authority.
- Assessed practice uses synthetic records.
- Think, Draft, Review keeps the decision with an accountable human.
Practical questions
Questions before you join
Do I need prior AI experience?
- No. The programme supports mixed confidence levels. You should be comfortable using a browser and willing to test, discuss and revise your work.
Which AI tools do I need?
- You need access to the course platform and an approved general-purpose AI workspace. We confirm practical access requirements before the cohort starts.
What if I miss a live session?
- Live participation matters because the course is practice-led. Contact us before applying if you already know you cannot attend every date, and contact the facilitation team promptly if something changes.
Will I receive a certificate?
- Learners who meet the stated completion requirements receive a certificate of completion. It is not an externally accredited professional certification.
Who can request the reduced rate?
- The EUR 280 rate is for eligible self-funding individuals, including specified national and local actors and aid workers between roles. Eligibility is confirmed during application; full criteria are in the terms.
Do I need to bring organisational data?
- No. Course practice uses fictional and synthetic records. Later transfer to real work must use your organisation’s authorised tools, policies and authority.
Can you support accessibility or participation needs?
- Yes. Tell us what would help when you apply or contact us before the cohort. We will confirm what support can be provided for the live sessions and course platform.
Can you adapt the programme for our organisation?
- Yes. Organisational programmes keep the responsible AI core while adapting roles, setting, source material, tools, policy and risk context through a scoped commissioning process.
Your facilitators
Two facilitators in every live session
Every live session runs with two facilitators. One leads the content while the other reads the room, supports participants who need more time and stretches those who are ahead.
Marie-Josée Hamel
Senior Consultant
Keeps the live cohort grounded in delivery, participant support, and operational realities so the practice transfers back into real teams.
Moayad Zarnaji
Facilitator
Humanitarian programme quality and evaluation specialist with 16+ years of experience in MEAL, partnerships, capacity building and crisis response across Syria and the wider region.
Albert Lamontagne
Facilitator
Humanitarian and community-sector practitioner, OCCAH coordinator, and researcher exploring practical and ethical uses of generative AI in humanitarian work.
Avril James
Director of Global Operations, MarketImpact
Aid professional with deep experience in programme design, remote management, partner-led implementation and emergency response across Turkey, Jordan, Lebanon, Sierra Leone, Greece, Palestine, Sudan and Ukraine.