AI 中文总结
本文针对现有AI文档制品未覆盖输入输出间知识层的问题，提出可捕获概念相关结构化知识的Knowledge Card，已在能源等领域构建原型并发布公共草案。
AI 中文摘要
其输出为现实决策提供信息且重要性日益提升的AI系统，需要当前文档实践未能提供的内容：一种结构化、可检查的知识表示，以支撑、情境化和推理这些决策所需的知识，理想情况下由领域专家审核并签署确认。已有的文档制品已捕获AI系统的重要方面：模型卡片描述系统的行为方式，数据卡片描述其训练所用数据，系统卡片描述已部署系统的风险。但 none 未涉及输入与输出之间的层面，更准确地说，是系统持有的概念、其建模的关系以及应用的推理模式。对于模式识别任务，这一缺口尚可容忍；对于基于智能体的AI（系统依据其结论采取行动），这一缺口正是将有前景的概念验证与组织可依赖的运营解决方案区分开的关键步骤。本文提出知识卡片（Knowledge Card），这是一种结构化制品，捕获关于单个有界概念的已验证知识，可供专家审核、组织审计及AI系统推理。对于某一概念（如特定故障模式、合规义务或流程决策），知识卡片记录涉及的实体与关系、连接它们的推理、该推理不再成立的条件以及每项主张的来源，所有内容均基于形式化领域本体并由领域专家签署确认。已在能源和制药领域构建了初始原型卡片，该模式已作为公共草案发布，供社区参与。
英文摘要
AI systems whose outputs inform real decisions, and increasingly consequential ones, require something that current documentation practice does not provide: a structured, inspectable representation of the knowledge they need to ground, contextualize, and reason about those decisions, ideally reviewed and signed off by a domain expert. Established documentation artefacts already capture important aspects of an AI system. Model cards describe how a system behaves, data cards describe what it was trained on, and system cards describe the risks of a deployed system. None of them addresses the layer between inputs and outputs, more precisely, the concepts a system holds, the relationships it models, and the patterns of reasoning it applies. For pattern-recognition tasks this gap is tolerable. For agentic AI, where systems act on their conclusions, it is the step that most often separates a promising proof of concept from an operational solution an organisation can rely on. This paper introduces the Knowledge Card, a structured artefact that captures validated knowledge about a single bounded concept in a form that experts can review, organisations can audit, and AI systems can reason over. For one concept, such as a specific failure mode, a compliance obligation, or a process decision, a Knowledge Card records the entities and relationships involved, the reasoning that connects them, the conditions under which that reasoning no longer holds, and the provenance of every claim, all grounded in a formal domain ontology and signed off by a domain expert. Initial prototype cards have been built in the energy and pharmaceutical domains. The schema is released as a public draft for community engagement.
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