# Societal Capacity Assessment Framework: Measuring Resilience to Inform Advanced AI Risk Management

arXiv: https://arxiv.org/abs/2509.22742 · HTML: https://mlsanity.com/paper/2509.22742/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 10 of its 77 references that are in the map.
- First posted on arXiv 26 Sep 2025.

## Builds on (most cited first, 10 of 10)

- [Sociotechnical Safety Evaluation of Generative AI Systems](https://mlsanity.com/paper/2310.11986/) (2023)
- [Evaluating the Social Impact of Generative AI Systems in Systems and Society](https://mlsanity.com/paper/2306.05949/) (2023)
- [Open Problems in Technical AI Governance](https://mlsanity.com/paper/2407.14981/) (2024)
- [Holistic Safety and Responsibility Evaluations of Advanced AI Models](https://mlsanity.com/paper/2404.14068/) (2024)
- [Evaluating AI Evaluation: Perils and Prospects](https://mlsanity.com/paper/2407.09221/) (2024)
- [Societal Adaptation to Advanced AI](https://mlsanity.com/paper/2405.10295/) (2024)
- [Measuring AI agent autonomy: Towards a scalable approach with code inspection](https://mlsanity.com/paper/2502.15212/) (2025)
- [AI Behind Closed Doors: a Primer on The Governance of Internal Deployment](https://mlsanity.com/paper/2504.12170/) (2025)
- [Troubling Taxonomies in GenAI Evaluation](https://mlsanity.com/paper/2410.22985/) (2024)
- [Towards Responsible Governing AI Proliferation](https://mlsanity.com/paper/2412.13821/) (2024)

## Built on by (most cited first, 1 of 1)

- [Comprehensive AI governance requires addressing non-model gains](https://mlsanity.com/paper/2606.00047/) (2026)

## Abstract (arXiv)

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.