Application Insights from the AAAI XAI4Sci Explainable Machine Learning for Sciences Workshop 02. April 2024 Science is about discovery and getting closer to understanding the natural world. The scientific method follows a... read more
Basics Explanation good, all good? How consumers can be informed about the deployment and functioning of AI systems 08. November 2023 With the help of explainable AI (XAI) methods, developers can increase the interpretability of AI decisions. Even... read more
Research Explainability Methods for Point Clouds II 14. June 2023 As the most widely used 3D data format, point cloud recognition has become an area of increasing research focus.... read more
Research An Explainability Method for Point Clouds 04. May 2022 As a form of computer vision data, point clouds are widely used in the navigation as well as the localization of... read more
Basics That wasn’t me! – Who is responsible for AI-supported decisions? 08. December 2021 Anna takes her little brother's toy, and he starts to scream. Their father comes into the room and immediately... read more
Research Interpreting word representations and topic analysis using matrix factorization 14. April 2021 Word embeddings play a central role in the machine analysis of texts. A central problem in the computer-driven... read more
Research The path to secure AI: an overview of practical methods 24. March 2021 Over the course of just a decade, deep neural networks (DNNs) have revolutionized Machine Learning, consistently... read more
Basics Why AI needs to be explainable 13. January 2021 Today, Machine Learning methods are already being applied in many everyday situations. Whether it is in autonomous... read more
