Executive Guide · Open access
Research Summary: Assessing Company Contributions to Societal Resilience: Extending the Societal Capacity Assessment Framework to Agentic AI
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 28 August 2026
- Last updated
- 22 September 2026
- Reading time
- 1 min
- Publication type
- Executive Guide
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
The paper introduces a framework for assessing how companies deploying agentic AI contribute to societal resilience. It posits that these companies are institutional actors whose deployment decisions actively shape society's capacity to withstand and govern the consequences of agentic AI. The Societal Capacity Assessment Framework (SCAF) is adapted to measure these contributions by focusing on safer AI agent implementations.
Why it matters
This framework is strategically important as it provides a structured method for evaluating the broader societal impact of technology deployment, particularly for advanced AI systems. It allows for the operationalization of goals related to responsible technology integration and societal preparedness, shifting the focus from simply developing AI to ensuring its safe and resilient societal integration.
Key insights
- Companies deploying AI agents are considered institutional actors influencing societal structures and capacity.
- The deployment decisions of these companies directly impact society's ability to withstand and govern the consequences of agentic AI.
- Societal resilience can be enhanced through the design and promotion of safer implementations of AI agents.
- An existing indicator-based framework, the Societal Capacity Assessment Framework (SCAF), is adapted to quantify a company's contributions to societal resilience through its AI deployment decisions.
Source
arXiv — Computers and Society — https://arxiv.org/abs/2608.27238
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- Verification ID
- ASA-EXG-2026-00745
- Version
- v1.0 · r0
- Issued
- 28 August 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Assessing Company Contributions to Societal Resilience: Extending the Societal Capacity Assessment Framework to Agentic AI
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
This verification confirms the AZIZ OS resource record and its documented provenance. It does not establish authorship of the underlying external work.