8 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 8 cited
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations
Benjamin Fresz, Lena Lörcher, Marco Huber
Decision processes of computer vision models - especially deep neural networks - are opaque in nature, meaning that these decisions cannot be understood by humans. Thus, over the l…
cs.AI2023★ 7 cited
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Danilo Brajovic, Niclas Renner, Vincent Philipp Goebels +7
Despite large progress in Explainable and Safe AI, practitioners suffer from a lack of regulation and standards for AI safety. In this work we merge recent regulation efforts by th…