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Main Authors: Gandhi, Milan, Cihon, Peter, Larter, Owen, Anselmetti, Rebecca
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2509.22742
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author Gandhi, Milan
Cihon, Peter
Larter, Owen
Anselmetti, Rebecca
author_facet Gandhi, Milan
Cihon, Peter
Larter, Owen
Anselmetti, Rebecca
contents Risk assessments for advanced AI systems require evaluating both the models themselves and their deployment contexts. We introduce the Societal Capacity Assessment Framework (SCAF), an indicators-based approach to measuring a society's vulnerability, coping capacity, and adaptive capacity in response to AI-related risks. SCAF adapts established resilience analysis methodologies to AI, enabling organisations to ground risk management in insights about country-level deployment conditions. It can also support stakeholders in identifying opportunities to strengthen societal preparedness for emerging AI capabilities. By bridging disparate literatures and the "context gap" in AI evaluation, SCAF promotes more holistic risk assessment and governance as advanced AI systems proliferate globally.
format Preprint
id arxiv_https___arxiv_org_abs_2509_22742
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Societal Capacity Assessment Framework: Measuring Resilience to Inform Advanced AI Risk Management
Gandhi, Milan
Cihon, Peter
Larter, Owen
Anselmetti, Rebecca
Computers and Society
Artificial Intelligence
Risk assessments for advanced AI systems require evaluating both the models themselves and their deployment contexts. We introduce the Societal Capacity Assessment Framework (SCAF), an indicators-based approach to measuring a society's vulnerability, coping capacity, and adaptive capacity in response to AI-related risks. SCAF adapts established resilience analysis methodologies to AI, enabling organisations to ground risk management in insights about country-level deployment conditions. It can also support stakeholders in identifying opportunities to strengthen societal preparedness for emerging AI capabilities. By bridging disparate literatures and the "context gap" in AI evaluation, SCAF promotes more holistic risk assessment and governance as advanced AI systems proliferate globally.
title Societal Capacity Assessment Framework: Measuring Resilience to Inform Advanced AI Risk Management
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2509.22742