Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists

作者:Charles Retzlaff, Alessa Angerschmid, Anna Saranti, David Schneeberger, Richard Roettger, Heimo Mueller, Andreas Holzinger · 发表于:Cognitive Systems Research · 年份:2024 · DOI:10.1016/j.cogsys.2024.101243 · 被引用次数:189 · 研究领域:Computer Science

The growing field of explainable Artificial Intelligence (xAI) has given rise to a multitude of techniques and methodologies, yet this expansion has created a growing gap between existing xAI approaches and their practical application. This poses a considerable obstacle for data scientists striving to identify the optimal xAI technique for their needs. To address this problem