Bhatnagar, Tigmanshu; Omar, Maarya; Orlic, Davor; Smith, James; Holloway, Catherine; Kett, Maria; (2025) Bridging AI and Humanitarianism: An HCI-Informed Framework for Responsible AI Adoption. In: Yamashita, Naomi and Evers, Vanessa and Yatani, Koji and Ding, Xianghua (Sharon) and Lee, Bongshin and Chetty, Marshini and Toups-Dugas, Phoebe, (eds.) CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. (pp. p. 1098). Association for Computing Machinery (ACM): New York, NY, USA.

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Abstract

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.

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