Publication Date
7-4-2026
Faculty Department
Department of Graduate Psychology
Document Type
Other
Abstract
Current artificial intelligence readiness strategies focus almost exclusively on two priorities: expanding access to AI tools and developing a technical workforce. While necessary, these efforts are insufficient. AI seems likely to transform how people work and, with that, to reshape how individuals derive meaning, how families function, and how communities organize. This paper presents the Community AI Resilience Framework, a five-pillar model addressing the human systems dimensions of AI transformation: (1) Economic Resilience and Regulatory Adaptation; (2) Social Cohesion and Belonging Infrastructure; (3) Psychological Resilience and Identity Reconstruction; (4) Civic and Educational Renewal; and (5) Ecological and Leisure Commons Management. Grounded in behavioral science, community health research, and emerging AI economics, the framework argues that communities capable of absorbing AI disruptions are likely to be those that have invested in local social infrastructure, regulatory flexibility, and a conception of human flourishing independent of employment. The framework is actionable at the community and regional levels and does not depend on federal policy resolution for implementation.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.
Recommended Citation
Anderson, Robin D. and Curtis, Nicholas A., "Community AI Resilience: A Five-Pillar Framework for Preparing Communities for an AI-Transformed World" (2026). Faculty Scholarship. 68.
https://commons.lib.jmu.edu/faculty-submissions/68
