What's Happening?
A global scoping review has mapped the evidence on artificial intelligence (AI) applications in humanitarian contexts, synthesizing 74 records from scholarly publications and grey literature. The review reveals a rapidly evolving but uneven evidence base,
with AI applications predominantly concentrated in specific disaster types and a notable gap between technological development and operational implementation. AI is primarily used for disaster monitoring, prediction, situational awareness, crisis informatics, search and rescue (SAR), and coordination. Most applications are found in sudden-onset disasters and focus on preparedness or response phases, with less attention given to recovery, protracted crises, displacement, public health emergencies, and humanitarian logistics. The majority of AI applications identified are prototypes, experimental models, or retrospectively validated tools, indicating limited field implementation or institutional integration. Furthermore, governance, participation, and equity considerations are inconsistently addressed in the existing literature.
Why It's Important?
This review is crucial for understanding the current landscape and future potential of AI in humanitarian aid. The identified gap between AI development and practical deployment highlights a significant challenge for organizations seeking to leverage technology for more effective crisis response. For U.S. humanitarian organizations and policymakers, these findings underscore the need for strategic investment in implementation science, operational evaluation, and governance frameworks for AI. The concentration of AI in sudden-onset disasters suggests that more research and development are needed for long-term crises, which are increasingly prevalent. Addressing the inconsistencies in governance, participation, and equity is vital to ensure that AI tools are developed and used ethically, without exacerbating existing inequalities or compromising the rights of vulnerable populations. This review provides a roadmap for future research and funding priorities to bridge the gap between innovation and impactful humanitarian practice.
What's Next?
Future research in humanitarian AI should shift focus from purely technical development to implementation science, operational evaluation, and governance. This includes prioritizing prospective field studies, user-centered validation, participatory design approaches, and equity-focused assessments. Researchers are encouraged to explore AI applications for recovery, resilience, protracted crises, displacement settings, and public health emergencies, which remain underexplored. Policymakers and humanitarian organizations must integrate governance, accountability, and community participation from the initial stages of AI development. Multidisciplinary collaboration will be essential to align AI innovation with humanitarian values and operational realities. The findings suggest a need for more regional studies, particularly in areas like the Middle East and North Africa (MENA), to assess the suitability of AI tools for local priorities, languages, governance structures, and operational contexts.
Beyond the Headlines
The review's findings point to deeper ethical and practical implications for the future of humanitarian aid. The 'implementation gap' suggests that technological solutions, however advanced, are ineffective without robust strategies for integration into real-world humanitarian workflows, adequate training for personnel, and consideration of local contexts. The inconsistent attention to governance, participation, and equity raises concerns about potential biases in AI algorithms, data privacy, and the risk of excluding affected communities from the design and deployment of tools meant to help them. This highlights a critical need for a human-centered approach to AI development in humanitarian settings, ensuring that technology serves humanity rather than dictating its terms. Addressing these issues will require a fundamental shift in how AI is conceptualized, developed, and deployed in crisis zones, moving towards solutions that are not only technically sound but also ethically robust, culturally sensitive, and genuinely empowering for those they aim to assist.
