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ICAIRE Ethical AI Series

ICAIRE Framework PaperICAIRE-EAI-2026-001

From Awareness to Responsible Application

A Community AI Readiness Framework Linking Assessment to Needs-Based Capacity Building

Dr. Reem K. Alshammari

KACST / C4IR Saudi Arabia

Abdullah G. Alanazi

KAUST

Published October 2026

Cover of From Awareness to Responsible Application

This paper sets out the proposed framework and its intended operationalisation ahead of implementation.

Abstract

This paper proposes an AI readiness framework that assesses residents of governorates and local communities and links the results directly to needs-based learning, training and access interventions. Individuals are assessed across three progressive stages: Awareness & Exposure, Understand, and Apply, with responsible AI treated as a cross-cutting layer present at every stage rather than a terminal level, and with contextual enablers and barriers reported separately from the readiness stages.

Readiness and capacityAI readinessAI literacyresponsible AIAI ethicsneeds-based trainingcapacity buildingsub-national assessment

About the authors

Dr. Reem K. Alshammari

Researcher at KACST, working with Saudi Arabia’s Centre for the Fourth Industrial Revolution on artificial intelligence and data.

Abdullah G. Alanazi

Researcher at KAUST, working on AI readiness and capacity building.

Cite this research

Alshammari, R. K., & Alanazi, A. G. (2026). From awareness to responsible application: A community AI readiness framework linking assessment to needs-based capacity building (ICAIRE Framework Paper). International Center for Artificial Intelligence Research and Ethics. https://doi.org/10.68480/FPKD6392

BibTeX
@techreport{alshammari2026awareness,  title       = {From Awareness to Responsible Application: A Community AI Readiness Framework Linking Assessment to Needs-Based Capacity Building},  author      = {Alshammari, Reem K. and Alanazi, Abdullah G.},  institution = {International Center for Artificial Intelligence Research and Ethics},  type        = {ICAIRE Framework Paper},  number      = {ICAIRE-EAI-2026-001},  year        = {2026},  month       = oct,  doi         = {10.68480/FPKD6392},  url         = {https://doi.org/10.68480/FPKD6392}}