OPLG International AI in Civil-Military Engagement

Training humanitarians for the responsible use of Artificial Intelligence.

OPLG International is building a global centre of thought leadership on the responsible use of AI in Civil-Military Engagement — shaping policy, practice and capacity development across the humanitarian, development, and peace & security communities.

Focus
AI in CME
Responsible & human-led
Communities
HDP & Security
Humanitarian · Development · Peace
Method
Scenario-based
Hands-on practicum
Association
Geneva · CH
Non-profit under Swiss law
01 — Our intention

A global thought leader on AI in civil-military engagement.

Artificial intelligence is entering humanitarian and civil-military work faster than the guidance around it. OPLG International exists to close that gap — equipping practitioners to use AI responsibly, and shaping the policy and practice that govern it.

We bring together humanitarian, development and peace & security professionals to develop ethical frameworks, build practical capacity, and advance guidance for the responsible adoption of AI — always keeping human judgement at the centre of every decision.

02 — Where to start

Two ways in.

Get oriented across the AI landscape, then put it into practice in a controlled, scenario-based setting.

Overview

AI Atlas

A general overview across the AI tools that matter for humanitarian and civil-military work — what each is for, and where it fits.

Open the Atlas
Practicum

Initial Training (AI-CME)

A practical module on using AI to strengthen preparedness, coordination and decision-making in conflict and disaster settings — without replacing human judgement.

Explore the module
03 — Who it is for

Designed for Civil-Military Engagement.

AI-CME is designed for professionals involved in Civil-Military Engagement and relevant experts from academia and the private sector. These include:

Humanitarian field staff and coordinators

Civil-military interaction professionals

Operational planners and programme managers

Access, security, and protection specialists

Military and civil defence personnel engaged with humanitarian actors

Liaison officers and policy advisors

Representatives from academia and the private sector working on AI and humanitarian innovation

04 — Approach

Policy innovation, capacity building, real application.

AI-CME combines policy and guidance innovation, capacity building, and operational application:

Scenario-based training and simulations

Practical exercises built on realistic operational settings — as already practiced in the SHAPE training course.

Practical use of freely available AI tools

Hands-on work with widely accessible AI tools in controlled, safe-to-fail environments.

Cross-sector collaboration

Bringing humanitarian, development and peace (HDP) emergency managers together with AI specialists.

Ethical frameworks and risk mitigation

Clear principles, guardrails and risk-mitigation strategies that keep AI use accountable and human-led.

05 — Get involved

Bring AI-CME to your team.

Whether you coordinate in the field, plan operations or research AI for humanitarian innovation — we would like to hear from you.