Sule Anjomshoae

Papers

Total Citations

221

H-Index

About

Sule Anjomshoae is a leading researcher in the field of eXplainable Artificial Intelligence (XAI), with a particular focus on making complex AI systems—especially autonomous agents and robots—more transparent and trustworthy. Her most cited work, the 2019 systematic literature review "Explainable Agents and Robots," has garnered 218 citations and stands as a foundational survey that maps the landscape of explainability in autonomous systems. This paper is widely referenced for its comprehensive analysis of how AI-driven agents can communicate their reasoning to human users, addressing a critical need as these systems become more pervasive. Anjomshoae also advanced the field with her 2021 work on "Visual Explanations for DNNs with Contextual Importance," which introduces novel methods for generating intuitive visual explanations from deep neural networks by highlighting the contextual relevance of input features. Her research bridges the gap between technical AI performance and human interpretability, contributing to safer and more accountable AI deployment. Through her systematic reviews and methodological innovations, Anjomshoae has established herself as a key voice in the XAI community, shaping how researchers and practitioners approach the challenge of building explainable, human-centered AI systems.