How can the principles of Human Computer Interaction inform responsible AI adoption in humanitarian practice?

On Wed, 30 April 2025, Tigmanshu Bhatnagar presented a paper at the CHI 2025 conference, on 'Bridging AI and Humanitarianism: An HCI-Informed Framework for Responsible AI Adoption' by Tigmanshu Bhatnagar, Maarya Omar, Davor Orlic, James Smith, Catherine Holloway, Maria Kett,  as part of a session on Trust and Responsibility in AI. CHI is the ACM (Association for Computing Machinery) conference on Human Factors in Computing Systems. It is the premier international conference of Human Computer Interaction. This video explores some of the issues detailed in the research. 

 

 

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.

 

This research was carried out as part of AT2030, funded by UK International Development.