Gustav Grund Pihlgren

Gustav Grund Pihlgren is a Research Fellow at the Department of Computing Science, Umeå University. His research focuses on Explainable AI (XAI) with specialization in computer vision and image analysis. He adapts XAI tools to generate human-interpretable explanations for image classification systems, leveraging his expertise in deep neural networks and perceptual similarity metrics.

His core research interests include:

• Developing automated methods to connect XAI outputs with domain-specific concepts
• Adapting explanation systems for diverse target audiences
• Utilizing deep feature activations for image similarity measurement
• Creating specialized XAI tools for computer vision applications

He is an active member of the XAI – Explainable AI research group at Umeå University. His recent publications demonstrate contributions to both theoretical frameworks and practical software tools for explainable artificial intelligence.