Leilani H. Gilpin
Assistant Professor,
UC Santa Cruz
I am an Assistant Professor in Computer Science and Engineering and an affiliate of the Science & Justice Research Center and the Generative AI Center at UC Santa Cruz. I am part of the AI group @ UCSC and I lead the AI Explainability and Accountability (AIEA) Lab.
Previously, I was a research scientist at Sony AI working on explainability in AI agents. I graduated with my PhD in Electrical Engineering and Computer Science at MIT in CSAIL, where I continue as a collaborating researcher. During my PhD, I developed “Anomaly Detection through Explanations” or ADE, a self-explaining, full system monitoring architecture to detect and explain inconsistencies in autonomous vehicles. This allows machines and other complex mechanisms to be able to interpret their actions and learn from their mistakes.
My research focuses on the theories and methodologies towards monitoring, designing, and augmenting complex machines that can explain themselves for diagnosis, accountability, and liability. My long-term research vision is for self-explaining, intelligent, machines by design.
Read more about my approach to communication, collaboration, and mentoring on the Working With Me page.
Interests
- Explainable AI (XAI)
- NeuroSymbolic AI
- Trustworthy AI
- AI Reasoning and Evaluation
- Safety and Security for Complex Autonomous Systems
Education
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PhD in Electrical Engineering and Computer Science, 2020
Massachusetts Institute of Technology
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M.S. in Computational and Mathematical Engineering, 2013
Stanford University
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BSc in Computer Science, BSc in Mathematics, Music minor, 2011
UC San Diego
