Bridging AI and Humanitarianism: An HCI-Informed Framework for Responsible AI Adoption

要旨

Advances in artificial intelligence (AI) hold transformative potential for humanitarian practice. Yet aligning this potential with the demands of humanitarian practice in dynamic and often resource-austere contexts remains a challenge. While research on Responsible AI provides high-level guidance, humanitarian practice demands nuanced approaches for which human-computer interaction (HCI) can provide a strong foundation. However, existing literature lacks a comprehensive examination of how HCI principles can inform responsible AI adoption in humanitarian practice. To address this gap, we conducted a reflexive thematic analysis of 34 interviews with AI technology experts, humanitarian practitioners, and humanitarian policy developers. Our contributions are twofold. First, we empirically identify three cross-cutting themes—AI risks in humanitarian practice, organisational readiness, and collaboration—that highlight common tensions in adopting AI for humanitarian practice. Second, by analysing their interconnectivities, we reveal intertwined obstacles and propose a conceptual HCI-informed framework.

著者
Tigmanshu Bhatnagar
University College London, London, United Kingdom
Maarya Omar
University College London, London, United Kingdom
Davor Orlic
Jožef Stefan Institute, Ljubljana, Slovenia
James Smith
University College London, London, United Kingdom
Catherine Holloway
University College London, London, United Kingdom
Maria Kett
University College London, London, United Kingdom
DOI

10.1145/3706598.3713184

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713184

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Trust and Responsibility in AI

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7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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