As AI models and services are used in a growing number of highstakes areas, a consensus is forming around the need for a clearer record of how these models and services are developed to increase trust. Several proposals for higher quality and more consistent AI documentation have emerged to address ethical and legal concerns and general social impacts of such systems. However, there is little published work on how to create this documentation. This is the first work to describe a methodology for creating the form of AI documentation we call FactSheets. We have used this methodology to create useful FactSheets for nearly two dozen models. This paper describes this methodology and shares the insights we have gathered. Within each step of the methodology, we describe the issues to consider and the questions to explore with the relevant people in an organization who will be creating and consuming the AI facts in a FactSheet. This methodology will accelerate the broader adoption of transparent AI documentation.

中文翻译：

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创建 AI FactSheets 的方法

随着 AI 模型和服务在越来越多的高风险领域中使用，围绕需要更清晰地记录如何开发这些模型和服务以增加信任的共识正在形成。已经出现了一些关于更高质量和更一致的 AI 文档的建议，以解决此类系统的道德和法律问题以及一般社会影响。但是，关于如何创建此文档的已发表工作很少。这是第一部描述用于创建我们称为 FactSheets 的 AI 文档形式的方法的工作。我们已经使用这种方法为近两打模型创建了有用的 FactSheets。本文描述了这种方法并分享了我们收集到的见解。在该方法的每个步骤中，我们在 FactSheet 中描述了要考虑的问题以及要与组织中将创建和使用 AI 事实的相关人员一起探讨的问题。这种方法将加速透明 AI 文档的更广泛采用。