Keeping communities at the heart of AI for humanitarians

When we talk about co-designing humanitarian AI systems with communities, what does this look like in practice - and what happens when systems fail to address real world humanitarian complexities?

The HLA's Ka Man Parkinson sits down with three practitioners who have been an integral part of the HLA/Data Friendly Space humanitarian AI research and convening journey over the past year: Musaab Alhadi, Ali Al Mokdad and Nour Arab.

They explore tensions between humanitarian realities and the promise of new systems, while also looking at the exciting potential of AI in transforming humanitarian learning in the area of AI and beyond.

Tune in for a candid and honest conversation exploring:

• People first: Why people, culture and communication must come before any AI system – and experiences of when there's been a disconnect
• Beyond tech framing: Why ethical AI is a power discussion, not a technology discussion - and the sharp lessons learned from digital transformation the sector cannot afford to ignore
• The humanitarian stress test: What operational realities in the ground in Sudan, Lebanon and beyond tell us about the limits of AI systems designed far from context
• Beyond HQ: Why AI literacy for frontline responders and local leaders is critical - and what that means for the localisation agenda
• Humanitarian AI learning now and in the future: Reflections on the new Ethical AI Kaya microlearning and imagining the future of AI-powered learning

Visit the episode webpage for a conversation transcript, speaker bios and links.

www.humanitarianleadershipacademy.org/resources/keeping-communities-at-the-heart-of-ai-for-humanitarians

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The views and opinions expressed in our podcast are those of the speakers and do not necessarily reflect the views or positions of their organisations.