Software Doping Analysis for Human Oversight

no code implementations • 11 Aug 2023 • Sebastian Biewer, Kevin Baum, Sarah Sterz, Holger Hermanns, Sven Hetmank, Markus Langer, Anne Lauber-Rönsberg, Franz Lehr

A prominent example of software doping are the tampered emission cleaning systems that were found in millions of cars around the world when the diesel emissions scandal surfaced.

Decision Making

A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)

no code implementations • 26 Jul 2023 • Timo Speith, Markus Langer

If meeting the requirement of explainability entails a reduction in system performance, then careful consideration must be given to which of these quality aspects takes precedence and how to compromise between them.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research

no code implementations • 15 Feb 2021 • Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum

Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these stakeholders' desiderata) in a variety of contexts.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)