We need to talk about AI
Conferencia | En línea
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Organizado por:
Key Aid Consulting
Sobre el evento
Join us for a critical conversation on AI’s role in shaping evidence, power, and knowledge creation. As AI institutionalizes, how do we keep discussions open and inclusive? Can AI avoid accelerating extractive practices, or can it empower co-ownership and grassroots learning? We’ll explore:
• Democratizing AI conversations—beyond specialists
• Positionality & ethics—preventing “extraction at scale”
• Reimagining rigor—challenging who defines evidence and for whom
AI isn’t just a tool; it’s reshaping power dynamics in evaluation. Let’s question the status quo and envision alternatives—together.
Open space for dialogue, not answers. All voices welcome.
• Democratizing AI conversations—beyond specialists
• Positionality & ethics—preventing “extraction at scale”
• Reimagining rigor—challenging who defines evidence and for whom
AI isn’t just a tool; it’s reshaping power dynamics in evaluation. Let’s question the status quo and envision alternatives—together.
Open space for dialogue, not answers. All voices welcome.
Presentador/a
| Nombre | Título | Biografía |
|---|---|---|
| Helene Juillard | Director | Hélène brings 18+ years of evaluation expertise—designing rigorous, ethical research for UN agencies, NGOs, and donors. With a focus on power, methods, and learning, she challenges the epistemology of evaluators. Join her to unpack AI’s role in reshaping evidence, ethics, and equity. |
| Andrew Nzimbi | Independant Consultant | Andrew is a senior humanitarian consultant with 20+ years advising on MEAL, cash, accountability and quality standards. A CALP/Sphere Trainer & CHS Auditor, he drives impact by embedding accountability, learning, and relevance in humanitarian action. |
| Silva Ferreti | Independant Consultant | Silva has 20+ years evaluating humanitarian and development projects, championing empowering, transformative evaluation. As a pioneer in AI for evaluation, her work focuses on inclusion, participation, and complexity awareness, blending rigor with real-world adaptability. |