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Artificial Intelligence in Adaptive Social Protection: Expanding Human Capabilities for Climate Resilience

Author

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  • Stiene Praet
  • Míriam Carrera Manzano
  • Julia Karpati
  • Chris De Neubourg

Abstract

Climate change is amplifying human vulnerability and exposing gaps in social protection systems, particularly where they remain nascent or fragmented. Adaptive Social Protection (ASP), which integrates routine support with shock-responsive mechanisms, can both buffer climate shocks and foster long-term resilience. This paper argues that digital technologies, including AI, can transform ASP into a proactive, capability-enhancing system. While AI can improve targeting, enable anticipatory action, and expand access to entitlements and adaptive livelihoods, it also introduces new risks related to exclusion, bias, and erosion of trust. Grounded in the Capability Approach, we outline nine strategies to ensure that digital ASP promotes capability enhancement, fostering long-term climate resilience.

Suggested Citation

  • Stiene Praet & Míriam Carrera Manzano & Julia Karpati & Chris De Neubourg, 2025. "Artificial Intelligence in Adaptive Social Protection: Expanding Human Capabilities for Climate Resilience," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 26(3), pages 471-481, July.
    • Handle: RePEc:taf:jhudca:v:26:y:2025:i:3:p:471-481
    DOI: 10.1080/19452829.2025.2518310
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