Can Artificial Intelligence Make Climate Migration More Just?

Millions of people are already forced to leave their homes due to climate disruptions. Prolonged droughts, rising sea levels, and extreme storms are driving entire communities to relocate, often without sufficient resources to adapt or rebuild. Climate migrants, whether fleeing temporarily or permanently, face increased risks to their health, safety, and integration. Yet, their fate could improve thanks to tools still underutilized in this field: artificial intelligence technologies.

Artificial intelligence is already used to predict natural disasters, monitor climate change, and optimize healthcare systems. Applied to climate migration, it could transform how societies anticipate, support, and integrate these movements. For example, computer models now analyze satellite data in real time to identify areas at risk of flooding or desertification. This information enables action before populations are forced to leave, by strengthening local infrastructure or organizing planned relocations. In countries like Ethiopia, such systems have already helped protect hundreds of thousands of people and their agricultural lands.

Artificial intelligence also offers solutions to reduce the inequalities faced by migrants once displaced. Algorithms help identify healthcare needs, predict epidemics in refugee camps, and facilitate access to education for uprooted children. Mobile applications, based on voice recognition or natural language processing, support language learning and social integration. In some regions of East Africa, digital platforms even connect migrants to local medical services, thereby improving their access to care.

However, these advancements are not without risks. Artificial intelligence systems rely on data that, if biased or incomplete, can exacerbate inequalities rather than reduce them. The most vulnerable regions, often located in the Global South, lack precise local data. Without rigorous and inclusive data collection, the tools developed could overlook the realities of the most exposed populations. Additionally, the ecological footprint of certain technologies raises concerns: training complex models consumes considerable energy, ironically contributing to the global warming they are meant to combat.

For artificial intelligence to truly serve climate justice, its design must involve the affected communities. This means engaging migrants, local authorities, and field experts in tool development, ensuring these tools address real needs and respect fundamental rights. Strict regulatory frameworks are also necessary to guarantee algorithmic transparency, protect personal data, and prevent any form of automated discrimination.

The challenge is significant: shifting from crisis management, where climate displacements are endured, to a proactive approach that strengthens the resilience of populations. Artificial intelligence alone will not solve the root causes of climate migration, but it can become a powerful lever to mitigate its most unjust consequences. Provided it is designed with equity, sobriety, and in close collaboration with those who need it most.

Credits and Attributions

Primary Source

DOI: https://doi.org/10.1057/s41599-026-07087-1

Title: Artificial intelligence and climate migration equity

Journal: Humanities and Social Sciences Communications

Publisher: Springer Science and Business Media LLC

Authors: Lawrence A. Palinkas; Mustafa F. Özbilgin; Miriam Aczel; Nathalie Ortar; Claire Monteleoni; Sarab Sethi; Eric Rice; Bistra Dilkina; Michalle Mor Barak