Masa-kichi/Bias-Architecture-Whitepaper

该数据集是一个关于AI模型偏见结构的公开资料集，名为Open Bias Architecture（OBA）白皮书数据集。它收录了OBA的白皮书、调优指南和伦理宣言等资料，旨在帮助解析AI模型的偏见结构、设计企业、政府和研究机构的AI治理框架，以及理解实用级别的AI调优方法。数据集包含AI调优白书（修订版PDF）、偏见功能的技术说明、伦理宣言、完整版白皮书和理论论文（OBA的基础理论）等内容。

This dataset is a collection of public materials on the bias structure of AI models, named the Open Bias Architecture (OBA) Whitepaper Dataset. It includes OBA whitepapers, tuning guidelines, and ethical declarations, aiming to help analyze the bias structure of AI models, design AI governance frameworks for enterprises, government agencies, and research institutions, and understand practical-level AI tuning methods. The dataset contains the AI Tuning Whitepaper (revised PDF), technical descriptions of bias functions, ethical declarations, the complete whitepaper, and theoretical papers (OBAs foundational theories).