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3Ps: Policy, Product, Pragmatism: You Only Know What You Know
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What happens when the worlds of policy, product development, and pragmatic decision-making collide in the race to create responsible AI? In this episode of Humanitarian Frontiers in AI, we are joined by a panel of experts, Sabrina Shih, Hadassah Drukarch, Gayatri Jayal, and Jigyasa Grover, for an in-depth discussion of responsible AI development in humanitarian contexts. Together, they unpack the realities of applying AI technologies in crisis-affected settings and grapple with issues around trust, speed, cultural adaptation, and ethical responsibility. They unpack how “human-in-the-loop” models must adapt depending on the context, how affected populations should be involved in AI design, and how to navigate scaling technologies quickly versus building them responsibly. They also explore the challenges of building context-specific tools, the evolving definitions of responsible AI, and how humanitarian organizations can stay rooted in people and processes, not just technology. Join us to discover insights into the crucial role of people and AI design in reshaping humanitarian work. Tune in now!
Key Points From This Episode:
- Introduction to today’s guests and their perspectives on the role of AI in humanitarianism.
- Learn about the risks and opportunities of using AI for decision-making in humanitarian work.
- Why AI is a “double-edged sword” and how organizations can set effective guardrails.
- What “human-in-the-loop” means and why it depends on autonomy, context, and design.
- Explore the role of affected populations in AI development, lifecycle, and implementation.
- Challenges of balancing speed, cost, and responsible AI deployment in humanitarian work.
- Unpack the colonial undercurrents of AI development and the power imbalances it causes.
- How to identify the needs of an affected population and the potential AI-based solutions.
- Measuring the cost and return of humanitarian AI solutions versus private-sector models.
- Hear about the future of AI, how it will enable experts, and best practices for developing AI.
Links Mentioned in Today’s Episode:
Nasim Motalebi
Nasim Motalebi on LinkedIn
Chris Hoffman on LinkedIn
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