AI ethics in humanitarian work: from theory to practice
Five requirements to judge an AI tool, drawn from the SAFE AI framework, and a live demonstration. With the MEAL Afrique network.
Independent consultant · Humanitarian sector
I help NGOs adopt AI while staying in control: setting their principles and rules, choosing or building the right tools, and training their teams. With eight years of humanitarian field work behind me, and an AI tool I designed and run.
Strategy, principles, policy, tool selection, governance and training: AI governance that is reliable and true to humanitarian principles.
See AI advisory → DesignAI assistants and tools built for your teams, your data and your procedures, to the same requirements.
See the tools → Monitoring, evaluation, accountabilityAn M&E system that serves your decisions, and teams trained to run it.
See MEAL consulting →In most organisations, AI is already in use, often with no written rules, sometimes on data about vulnerable people. My work is to bring order to that use, starting from the organisation's own principles and from the reference frameworks: the EU AI Act and the SAFE AI sector framework.
To apply them day to day, I boil them down to five requirements:
The detail is in the TRUST framework.
I have worked in the humanitarian sector since 2018: monitoring and evaluation in the Democratic Republic of Congo, Sudan and Ukraine, programme coordination in the Central African Republic, and today development and quality coordination in Burundi.
Alongside that, I designed Opti', an AI-assisted M&E platform used by more than 800 professionals in over ten countries. That is where I apply, every day, the rules I recommend to organisations.
Five requirements to judge an AI tool, drawn from the SAFE AI framework, and a live demonstration. With the MEAL Afrique network.
A first thirty-minute call, free and with no commitment, to see whether I can be of use.