评估企业对社会韧性的贡献：将社会能力评估框架扩展至智能体AI
Assessing Company Contributions to Societal Resilience: Extending the Societal Capacity Assessment Framework to Agentic AI
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中文总结 AI 辅助
本文调整SCAF框架，通过两步法衡量企业智能体AI部署决策对社会韧性的贡献，并将其应用于微软公开文档的评估。
中文摘要 AI 辅助
部署AI智能体并将其提供给他人的企业，正在创造该技术融入现有社会经济结构的社会技术环境。部署AI的企业是塑造社会抵御和治理智能体AI后果能力的制度性主体。鉴于这些社会影响，企业可通过设计和推广更安全的AI智能体实现方式来构建社会韧性。为将此目标落地，本文对基于指标的社会能力评估框架（SCAF）进行调整，以衡量企业的部署决策如何促进社会韧性，该框架原本将社会韧性作为部署决策的背景进行衡量（Gandhi等人，2025）。本文的流程分为两步：第一步是概念层面，设计一套指标，明确SCAF的脆弱性、应对能力和适应能力在评估企业智能体AI部署决策时的含义；第二步是衡量层面，将该框架应用于对微软公开文档的结构化评估。
英文摘要
Companies that deploy AI agents and make them available to others are creating the sociotechnical circumstances under which this technology integrates into existing social and economic structures. AI-deploying companies are institutional actors that actively shape society's capacity to withstand and govern the consequences of agentic AI. In view of these societal impacts, companies can build societal resilience by designing and promoting safer implementations of AI agents. To operationalize this goal, this paper adapts the indicator-based Societal Capacity Assessment Framework (SCAF) to measure how a company's deployment decisions contribute to societal resilience, inverting its original measurement of societal resilience as a backdrop for deployment decisions (Gandhi et al., 2025). Our procedure has two steps: a conceptual step in which we design a suite of indicators that define what SCAF's vulnerability, coping, and adaptive capacities mean when assessing a company's agentic AI deployment decisions; and a measurement step in which we apply this framework in a structured assessment of public-facing Microsoft documents.
