Papers

11

Total Citations

320

H-Index

5

About

Amro Najjar is a prominent AI researcher whose work sits at the intersection of explainable artificial intelligence (XAI), human-agent interaction, and social robotics. Best known for his landmark 2019 systematic literature review on explainable agents and robots — now cited over 218 times — Najjar has been instrumental in mapping and shaping the emerging field of XAI, tracing its intellectual roots through cognitive science and pushing it toward practical, human-centered applications. His 2021 work on "parsimonious XAI" (54 citations) advances a human-agent architecture that prioritizes clarity and efficiency in how intelligent systems communicate their reasoning to users. Beyond explanation frameworks, Najjar critically interrogates the social and ethical dimensions of intelligent systems. He has examined the fine line between beneficial anthropomorphism and manipulation in social robotics, raised important questions about trust and human dependency in AI relationships, and advocated for vulnerability-oriented impact assessments to protect fundamental rights. His work on drone fleet management further demonstrates a commitment to deploying explainable models in real-world scenarios. Across his career, Najjar has consistently championed a human-centred approach to AI — one that is transparent, ethically grounded, and attentive to the complex realities of human-machine coexistence.

Research Focus

Key Achievements

5
H-Index
11
Papers
320
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Explainable Agents and Robots: Results from a Systematic Literature Review
218 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Umeå University, University of Luxembourg, Luxembourg Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago