TY - DATA T1 - Navigating the EU AI Act Maze using a Decision-Tree Approach: Decision Tree and Interview Protocol PY - 2024/05/06 AU - Hilmy Hanif AU - Jorge Constantino AU - Marie-Therese Sekwenz AU - Michel van Eeten AU - Jolien Ubacht AU - Ben Wagner AU - Yury Zhauniarovich UR - DO - 10.4121/bf7013ce-54b5-43b9-b275-f6c44652534b.v1 KW - Artificial Intelligence KW - AI Act KW - AIA KW - Risk Classification KW - Compliance N2 -
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.
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