Navigating the EU AI Act Maze using a Decision-Tree Approach: Decision Tree and Interview Protocol

This repository contains the Decision-Tree-based framework (AIAct_DecisionTree.pdf) and Interview protocol (InterviewProtocol.pdf) artifacts. The framework has been developed to improve legal compliance and classification clarity of AI systems in accordance with the AI Act. The protocol describes the interview process that has been used to collect the data in order to evaluate the efficiency and effectiveness of the developed framework.

本代码仓库包含基于决策树的框架（AIAct_DecisionTree.pdf）与访谈协议（InterviewProtocol.pdf）两类研究产出文件。该框架依据《人工智能法案（AI Act）》开发，旨在提升人工智能系统的法律合规性与分类清晰度。本访谈协议详细说明了用于数据采集的访谈流程，以评估所开发框架的运行效率与实际效果。