Table 1 AI-assisted actions for achieving equity on climate change-related population displacement.
Area of focus | Key actions for achieving equity | Specific AI solutions |
|---|---|---|
1. Disaster preparedness and response | • Improve early warning of extreme weather events and environmental hazards for communities at risk of migration. • Monitor environmental changes that could lead to migration from under-resourced areas (e.g., LMICs) | • ML weather and migration prediction models • AI tools for environmental monitoring and planning • Weather and environmental data from LMICs |
2. Health disparities | • Focus on at-risk populations affected by climate-related environmental changes in under-resourced areas. • Implement culturally appropriate digital interventions for mental and behavioral health. • Improve access to quality healthcare for chronic and infectious diseases exacerbated by climate change. | • ML temperature change prediction models and environmental monitoring • ML disease outbreak prediction models • Use of GenAI in mental health treatment apps • ML, NLP, and other AI tools for clinical decision-making, caregiving, and administrative management |
3. Community sustainability | • Reduce the need to migrate and strengthen the resilience of climate migrant communities of origin. • Promote the social, economic, and environmental sustainability of climate migrant host communities | • AI methods for monitoring and reducing carbon emissions and managing energy consumption. • LLMs and DTs to enhance climate risk communication • ML and other AI methods in the digitization of urban environments to develop mixed-use neighborhoods for climate migrants and established residents |
4. Resettlement | • Model and monitor migration movements to identify destinations • Identify and deliver services to climate migrants during and post migration • Forecast needs of host communities most likely to be impacted by the influx of climate migrants. | • ML methods for modeling human migration in response to climate change • AI-supported models to identify suitable resettlement locations |
5. Child development | • Improve access to technology designed to improve literacy, language, and self-directed learning skills of climate migrant children • Prevent and mitigate disease and malnutrition that adversely impacts development of potential child climate migrants • Address the mental health needs of climate migrant children | • AI-supported ICT adapted for climate migrant children • AI methods for predicting and monitoring risks for infectious disease and malnutrition • AI-supported digital mental health interventions |
