Amber E. Zelvelder
Papers
1
Total Citations
11
H-Index
1
About
Amber E. Zelvelder is a scholar whose work bridges the historical foundations of cognitive science with the emerging demands of explainable artificial intelligence (XAI). Her most-cited paper, "A Historical Perspective on Cognitive Science and Its Influence on XAI Research" (2019, 11 citations), offers a critical lens on how cognitive theories have shaped modern AI interpretability, tracing the evolution from early mental models to contemporary algorithmic transparency. This contribution underscores her ability to contextualize technical challenges within broader intellectual traditions, providing researchers with a roadmap for designing more human-centered AI systems. While her citation count reflects a focused, emerging impact, her work is notable for its interdisciplinary rigor—synthesizing philosophy, psychology, and computer science to address the "black box" problem in machine learning. Zelvelder’s research invites students and practitioners alike to reconsider XAI not merely as a technical fix, but as a dialogue between human cognition and machine reasoning. Her scholarship stands as a thoughtful foundation for those exploring how historical insights can guide the ethical and practical development of transparent AI.
Research Focus
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Top Papers
- 1