A new paper from our group was published at the Florida Artificial Intelligence Research Society: An Overview on the Explainability of Cyber-Physical Systems.
The paper argues that today’s Explainable Artificial Intelligence approaches, when applied to Cyber-Physical Systems, overlook the impact of the CPS’ physical and virtual context when explaining the outputs of decision-making software models, which are essential factors in explaining CPS’ behavior to stakeholders. It then proposes to enrich explanations of CPS behavior with contextual information using semantic technologies, user feedback, and enhanced explanation visualization techniques to improve their understandability. To that end, context-aware explanation and better explanation presentation based on knowledge graphs might be a promising research direction for explainable CPS.
Author: Simon Mayer
Date: 4. May 2022