Laura Crompton
Papers
2
Total Citations
10
H-Index
2
About
Dr. Laura Crompton is a leading voice at the intersection of artificial intelligence, robotics, and human-machine interaction, with a focused expertise in the epistemology of trust. Her research critically examines how trust is conceptualized and operationalized in autonomous systems, particularly within embodied and computational AI. In her influential 2020 paper, "A Critical Analysis of the Trust Human Agents Have in Computational and Embodied AI" (3 citations), Crompton challenges the prevailing narrative, arguing that trust in AI is fundamentally problematic when viewed through the lens of socio-technical epistemic systems and human influenceability. She further advances the field with her 2021 work, "Collaborative Model-Based Process Assessment for Trustworthy AI in Robotic Platforms" (7 citations), where she proposes a novel framework for evaluating and ensuring trustworthiness in real-world robotic deployments. By bridging theoretical critique with practical assessment models, Crompton’s work provides essential guardrails for the responsible development of AI, making her a key thinker for students and researchers navigating the complex social and technical dimensions of trustworthy autonomous systems.
Research Focus
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Top Papers
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