Policy Cards are introduced as a machine-readable, deployment-layer standard for expressing operational, regulatory, and ethical constraints for AI agents. The Policy Card sits with the agent and enables it to follow required constraints at runtime. It tells the agent what it must and must not do. As such, it becomes an integral part of the deployed agent. Policy Cards extend existing transparency artifacts such as Model, Data, and System Cards by defining a normative layer that encodes allow/deny rules, obligations, evidentiary requirements, and crosswalk mappings to assurance frameworks including NIST AI RMF, ISO/IEC 42001, and the EU AI Act. Each Policy Card can be validated automatically, version-controlled, and linked to runtime enforcement or continuous-audit pipelines. The framework enables verifiable compliance for autonomous agents, forming a foundation for distributed assurance in multi-agent ecosystems. Policy Cards provide a practical mechanism for integrating high-level governance with hands-on engineering practice and enabling accountable autonomy at scale.
翻译:策略卡片被提出作为一种机器可读的部署层标准,用于表达AI代理的操作性、监管性和伦理约束。策略卡片与代理共存,使其能够在运行时遵循必要的约束条件,明确告知代理必须执行和禁止执行的行为,从而成为已部署代理的有机组成部分。策略卡片通过定义规范层来扩展现有的透明度工具(如模型卡片、数据卡片和系统卡片),该规范层编码允许/禁止规则、义务、证据要求以及与保障框架(包括NIST AI RMF、ISO/IEC 42001和欧盟《人工智能法案》)的交叉映射关系。每张策略卡片均可自动验证、进行版本控制,并与运行时执行或持续审计流程相链接。该框架为自主代理提供了可验证的合规性基础,构成了多代理生态系统中分布式保障的基石。策略卡片为高层级治理与工程实践的结合提供了实用机制,支持大规模可问责的自主系统运行。