Miruna Clinciu
Papers
2
Total Citations
38
H-Index
2
About
Miruna Clinciu is a researcher at the forefront of explainable artificial intelligence (XAI), with a focused expertise on how autonomous systems—particularly in robotics—can communicate their decisions through natural language. Her work bridges the critical gap between complex AI models and human understanding, centering on the evaluation of automatically generated explanations. Clinciu’s most cited paper (36 citations) establishes foundational parallels between NL explanation generation and established fields like machine translation, arguing that rigorous evaluation methods are essential for building transparent, trustworthy AI. She further advances this agenda in her 2021 study on automatic metrics for explanation quality, a niche but vital contribution to ensuring that AI’s reasoning is not only accurate but also interpretable to end-users. By tackling the challenge of measuring explanation fidelity, Clinciu’s research directly supports the deployment of safer, more accountable robotic and AI systems. Her work is particularly impactful for students and practitioners seeking to operationalize transparency in human-AI interaction, offering both theoretical grounding and practical evaluation frameworks.
Research Focus
Key Achievements
Top Papers
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