Marcus Westberg
Papers
1
Total Citations
11
H-Index
1
About
Marcus Westberg is a scholar whose work bridges the historical foundations of cognitive science with the emerging field of explainable artificial intelligence (XAI). His research critically examines how cognitive theories have shaped the development of interpretable AI systems, offering a nuanced perspective on the interplay between human reasoning and machine learning. Westberg’s most cited paper, "A Historical Perspective on Cognitive Science and Its Influence on XAI Research" (2019), has garnered 11 citations, establishing him as a thoughtful voice in the discourse on AI transparency. By tracing the evolution of cognitive models—from early symbolic approaches to modern neural networks—he highlights the challenges and opportunities in making AI decisions understandable to humans. His work is particularly valuable for students and researchers seeking to understand the intellectual lineage behind contemporary XAI methods. Westberg’s contributions underscore the importance of historical context in shaping future AI design, making his research a key reference for those exploring the ethical and practical dimensions of intelligent systems.
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Top Papers
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