{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T14:14:49Z","timestamp":1788272089733,"version":"build-2803163510"},"reference-count":47,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100020171","name":"Foreign, Commonwealth & Development Office","doi-asserted-by":"crossref","award":["QUEX-CHS-FCDO-25\/26-1"],"award-info":[{"award-number":["QUEX-CHS-FCDO-25\/26-1"]}],"id":[{"id":"10.13039\/501100020171","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:p>\n                    Humanitarian and development organizations are increasingly exploring artificial intelligence (AI) to support information-intensive work, yet responsible adoption depends on both staff readiness and organizational enabling conditions. This study provides an exploratory stakeholder-based snapshot of AI readiness within Qatar\u2019s humanitarian and development ecosystem. A cross-sectional, bilingual online survey was administered to humanitarian-sector stakeholders (\n                    <jats:italic>N<\/jats:italic>\n                    \u202f=\u202f83) using purposive and snowball recruitment initiated through a multi-stakeholder network. Readiness was examined using a dual conceptual lens: the Unified Theory of Acceptance and Use of Technology (UTAUT) was used to interpret adoption-related perceptions, and the Organizational Digital Transformation Readiness (ODTR) model was used to structure organizational readiness conditions. Descriptive indicators were summarized, and composite indices were calculated on a 0\u2013100 scale. Adoption-related perceptions were high in this sample (UTAUT-informed index mean: 90.8\/100), whereas organizational readiness conditions were more moderate and variable (ODTR index mean: 56.8\/100). Governance and safeguards represented the weakest organizational domain (mean: 43.6\/100). The most frequently reported medium or major barriers were insufficient staff skills to work with data or AI tools (89.2%), technical complexity or difficulty using AI tools (86.7%), and concerns about data privacy or potential misuse (84.3%). Overall, the findings suggest a layered readiness pattern in which individual openness to AI appears stronger than the visibility and consistency of organizational governance and capability conditions. These results should be interpreted as descriptive and context-specific rather than representative of the wider sector. Even so, they provide an empirical baseline that may help inform future efforts to strengthen governance, safeguards, and capacity-building for responsible AI adoption in humanitarian and development settings.\n                  <\/jats:p>","DOI":"10.3389\/fpubh.2026.1937518","type":"journal-article","created":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T13:24:21Z","timestamp":1788269061000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Responsible AI readiness in a humanitarian and development ecosystem: an exploratory case study"],"prefix":"10.3389","volume":"14","author":[{"given":"Yasmine","family":"Attia","sequence":"first","affiliation":[{"name":"Department of Public Health, College of Health Sciences, Qatar University","place":["Doha, Qatar"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diana","family":"Maddah","sequence":"additional","affiliation":[{"name":"Department of Public Health, College of Health Sciences, Qatar University","place":["Doha, Qatar"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Al-Anoud","family":"Al-Kaabi","sequence":"additional","affiliation":[{"name":"Qatar Fund for Development (QFFD)","place":["Doha, Qatar"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ghalia","family":"Seifo","sequence":"additional","affiliation":[{"name":"United Nations Office for the Coordination of Humanitarian Affairs (UN OCHA)","place":["Doha, Qatar"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed Bader","family":"Al-Sada","sequence":"additional","affiliation":[{"name":"Qatar Red Crescent Society (QRCS)","place":["Doha, Qatar"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jesha Mohammed Ali","family":"Mundodan","sequence":"additional","affiliation":[{"name":"Ministry of Public Health (MoPH)","place":["Doha, Qatar"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdelaziz Khatir","family":"Jadeed","sequence":"additional","affiliation":[{"name":"Qatar Charity (QC)","place":["Doha, Qatar"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niveen M. E.","family":"Abu-Rmeileh","sequence":"additional","affiliation":[{"name":"Department of Public Health, College of Health Sciences, Qatar University","place":["Doha, Qatar"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwalombota","family":"Kwalombota","sequence":"additional","affiliation":[{"name":"Foreign, Commonwealth and Development Office (FCDO)","place":["London, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,1]]},"reference":[{"key":"ref1","volume-title":"Crisis and Emergency Response","year":"2025"},{"key":"ref2","volume-title":"Trends in Crises and Needs: a World at Breaking PointGlobal Humanitarian Overview 2026","year":"2025"},{"key":"ref3","volume-title":"Global Perspectives: Cross-Disciplinary Contributions to Multidisciplinary Research","author":"Mohammed","year":"2024"},{"key":"ref4","volume-title":"Adapting Humanitarian Coordination: Challenges, Innovations, and Future 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