AI Hazard Management: A framework for the systematic management of root causes for AI risks

no code implementations • 25 Oct 2023 • Ronald Schnitzer, Andreas Hapfelmeier, Sven Gaube, Sonja Zillner

In addition, to ensure the AI system's auditability, the proposed framework systematically documents evidence that the potential impact of identified AI hazards could be reduced to a tolerable level.

Art Analysis Management

The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research

no code implementations • 11 Oct 2023 • Thomas Decker, Ralf Gross, Alexander Koebler, Michael Lebacher, Ronald Schnitzer, Stefan H. Weber

In this paper, we investigate the practical relevance of explainable artificial intelligence (XAI) with a special focus on the producing industries and relate them to the current state of academic XAI research.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)