Explainable AI
Approaches for understanding and evaluating AI-supported decisions.
My research background spans artificial intelligence, explainability, case-based reasoning and intelligent systems.

I hold a Ph.D. in Engineering and have worked on research involving artificial intelligence, explainable AI, case-based reasoning and decision-support systems.
My academic work examines how systems make decisions, how explanations can help people understand them, and how intelligent approaches can be evaluated.
Research and creative publishing are distinct parts of my work. This page provides an academic overview, while my books are presented separately for readers.
Approaches for understanding and evaluating AI-supported decisions.
Learning from previous examples to support decisions and explanations.
Machine learning, decision support and adaptive computing.
Explore my academic publications and research activity through the profiles below.
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