Open cohorts
Learn through Eleni’s world
A shared fictional workplace gives every learner realistic evidence, decisions and constraints without exposing real organisational data.
See dates and cohort detailsResponsible AI in practice
Responsible AI training for complex, accountable work.
Six live sessions that move from understanding and controlling AI to verifying its work, building reliable multi-step systems, working safely with connected tools and deciding what responsible adoption means for you and your organisation.
- TASK Frame
- SOURCE Ground
- CHECK Verify
- DECISION Own
Permission-cleared organisational result
Practical capability, carried into team work
This training helped our teams understand AI in a practical, responsible way. People came out with real workflows they can use immediately, clearer safeguards, and the confidence to work safely with these tools. It was one of the most relevant and useful trainings we've had this year.
Cohort evidence
What participants reported
July 2026 cohort · Responses to · n=7
- 8.7/10 average programme rating
- 8.9/10 average likelihood to recommend
- 5 of 7 had built a work application
The learning journey
Six sessions. Six practical questions.
The course moves from understanding and controlling AI to building useful systems and making responsible decisions about how they should be used.
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Understand and control AI
What is AI, how should we think about it, and how can we control it?
Learn to choose a worthwhile task, give AI a proper brief and remain responsible for the purpose, constraints and final result.
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Trust and verify its work
When can we trust AI-generated work, and how should we challenge, check and verify it?
Learn to ground work in reliable sources, challenge the first answer, test important claims and explain material AI use when accountability requires it.
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Structure longer work
What structures allow an AI system to work reliably over longer, multi-step tasks?
Learn to organise instructions, context, source material and intermediate outputs so useful work does not depend on one increasingly unreliable conversation.
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Connect it safely
What can AI reach and do through connectors, local files, browsers and computer access—and how should that access be controlled?
Learn to distinguish availability from authority, limit access to what the task requires and keep consequential actions behind an explicit human decision.
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Build useful systems
What useful applications become possible when we combine these capabilities with deliberate memory and reusable context?
Learn to turn a successful piece of AI-supported work into a repeatable system that retains the right instructions, sources, checks and organisational knowledge.
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Govern responsible adoption
What does this mean for risk, accountability, organisational policy and the future of work?
Decide what should be adopted, what needs safeguards or policy, what remains experimental and what should stay human-led.
Synthetic practice world
Use AI confidently. Verify the work. Stay accountable.
Eleni Andreou is Head of Programmes at Koinon Relief Partnership in the fictional Republic of Alashiya. She works across programme priorities, evidence, partners and operational constraints during early recovery. Her role gives the cohort a consistent point of view without using real organisational or personal information.
Synthetic training material — not a real crisis or participant case.
- Role
- Eleni Andreou · Head of Programmes
- Organisation
- Koinon Relief Partnership
- Setting
- Republic of Alashiya
Choose the route that fits
Join a shared open cohort or commission a programme adapted to your organisation.
Custom programmes
Built around your audience
Adapt the roles, source material, tasks and governance context for an agency, government team or organisation while keeping the AidGPT core.
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Public guide · MI-GUIDE-001
AI Disclosure and Use (MI-GUIDE-001)
A free ten-page guide for managers: what staff may use AI for, what must be disclosed, and a staff notice ready to adapt and issue. Free, ungated and CC BY 4.0.
Public guide · MI-GUIDE-002
Verification-First (MI-GUIDE-002)
A free six-page protocol for commissioning AI-assisted analysis you can defend: seven phases, nine failure modes with the control that caught each one, and ten requirements you can write into terms of reference. Free, ungated and CC BY 4.0.