In the last decade, several organizations have produced documents intended to standardize, in the normative sense, and promote guidance to our recent and rapid AI development. However, the full spectrum of ideas presented in these documents has not yet been analyzed, except for a few meta-analyses and critical reviews of the field. In this work, we seek to expand on the work done by past researchers and create a tool for better data visualization of the contents and nature of these documents, to understand whether there is consensus or similarity between the principles espoused by various institutions, which may inspire debates on future regulations. We also provide some preliminary thoughts and questions that could guide the continuity of the research through a critical analysis of the results acquired by our methodology into a sample size of 200 documents.

翻译：过去十年间，多个组织发布了旨在规范意义上标准化并指导近期快速人工智能发展的文件。然而，除了一些元分析和批判性综述外，这些文件所呈现的全部思想尚未得到系统分析。本研究旨在拓展先前研究者的工作，构建一个更优的数据可视化工具，用以呈现这些文件的内容与性质，从而探究不同机构所倡导的原则是否存在共识或相似性，进而为未来法规的制定提供启发。我们还通过对200份样本文件采用方法论获得的结果进行批判性分析，提出一些初步思考与问题，以引导后续研究的连续性。