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.

Capturing and effectively utilising user states and goals is becoming a timely challenge for successfully leveraging intelligent and usercentric systems in differentweb search and data mining applications. Examples of such systems are conversational agents, intelligent assistants, educational and contextual information retrieval systems, recommender/match-making systems and advertising systems, all of which rely on identifying the user state in order to provide the most relevant information and assist users in achieving their goals. There has been, however, limited work towards building such state-aware intelligent learning mechanisms. Hence, devising information systems that can keep track of the user's state has been listed as one of the grand challenges to be tackled in the next few years [1]. It is thus timely to organize a workshop that re-visits the problem of designing and evaluating state-aware and user-centric systems, ensuring that the community (spanning academic and industrial backgrounds) works together to tackle these challenges.