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Humanitarian Frontiers in AI
“Humanitarian Frontiers in AI” is a groundbreaking podcast series designed to explore the strategic and practical aspects of artificial intelligence (AI) in the humanitarian sector. This series aims to bring together thought leaders from academia, humanitarian innovation, and the tech industry to discuss the opportunities, risks, and real-world applications of AI in enhancing humanitarian efforts. Over a series of ten episodes, the project will delve into specific topics relevant to decision-makers and influencers within the sector, providing insights into how AI can be effectively and ethically integrated into humanitarian work. This podcast is graciously funded by Innovation Norway. https://en.innovasjonnorge.no/
Podcasting since 2024 • 4 episodes
Humanitarian Frontiers in AI
Latest Episodes
Peering Through the Data Scope: Uncovering the Unknown
How can humanitarian organizations harness the power of AI while safeguarding data and ensuring ethical use? In this episode, hosts Nasim Motalebi and Chris Hoffman are joined by experts Jeff Wagg and Matthew Harris to demystify the complexitie...
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Episode 4
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49:10
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Ethics and Responsibility from 30,000 Feet
Are we ready to let AI drive humanitarian solutions or are we rushing toward an ethical disaster? In this episode of Humanitarian Frontiers in AI, host Chris Hoffman is joined by AI experts Emily Springer, Mala Kumar, and Suzy Madigan to tackle...
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Episode 3
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57:29
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Where to Start with Strategy?
Implementing a successful AI strategy for your social enterprise may seem overwhelming, but with the right support, the results can be transformative. In today’s conversation, hosts Nasim Motalebi and Chris Hoffman sit down with Juriaan Lahr an...
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Episode 2
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51:30
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Strategic Implications of AI in Humanitarian Work
How should we think strategically about AI, address its emerging challenges, and approach solutions with realistic expectations? In the inaugural episode of Humanitarian Frontiers in AI, hosts Nasim Motalebi and Chris Hoffman are joined by Mich...
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Episode 1
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53:11
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