Openlayer
Erica Luzzi is a skilled designer with extensive experience in the intersection of design, technology, and artificial intelligence. Currently serving as the Founding Designer at Openlayer since June 2022, Erica leads design efforts to address the AI reliability problem. Previous roles include Design & Research Collaborator at the Data Nutrition Project, where Erica developed the Label Maker for user-generated Data Nutrition Labels, and a Design Intern at TruEra, focusing on model comparison flows for AI quality monitoring. Additionally, Erica has experience as a Teaching Fellow at Harvard University and has contributed to research across various prestigious institutions, including MIT Media Lab and Tufts University, where Erica played key roles in research assistance and project management. Educational accomplishments include a Master of Design Engineering from Harvard University and a Bachelor of Science in Cognitive Science from Tufts University.
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Openlayer
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Openlayer is a novel, collaborative error analysis platform that "opens up" machine learning models by detecting and eliminating failure patterns and biases. Unbox makes it easy to keep track of all models and datasets, allowing the team to focus on building production-ready models.