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，众多组织相继发布了旨在从规范性意义上统一标准、引导近期快速发展的AI领域的文件。然而除少量元分析与批判性综述外，这些文件所呈现的完整思想谱系尚未得到系统分析。本研究致力于拓展前人工作，开发更优的数据可视化工具以剖析这些文件的内容与性质，从而探究不同机构所倡导原则之间是否存在共识或相似性，为未来监管法规的制定提供讨论基础。我们通过对200份样本文件实施方法论分析，基于批判性视角提出初步思考与待解问题，以期为后续研究持续深化提供指引。