AI Cheating in B.C. Universities | UBC Case Grey Area
Explore AI cheating issues in B.C. universities like UBC, false accusations, unreliable detectors, policies, and solutions for ethical integration in higher education.
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Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia. She also holds the position of Canada CIFAR AI Chair at the Vector Institute. Her research focuses on natural language processing with the goal of building models capable of human-level understanding of natural language. Current work in her lab centers on testing and improving the capabilities of large language models and vision-language models, developing culturally competent AI, and advancing responsible NLP applications in sensitive domains such as legal and medical fields.
Before joining UBC, Shwartz served as a postdoctoral researcher at the Allen Institute for AI and the University of Washington. She earned her PhD in 2019, MSc in 2015, and BSc in 2013, all in Computer Science from Bar-Ilan University, where she conducted research on lexical and compositional semantics in the Natural Language Processing lab. She is a member of the UBC NLP Group, CAIDA, Language Sciences, and ICICS. Shwartz is the author of the nonfiction book Lost in Automatic Translation, published in 2025. She has delivered numerous invited talks at major conferences and workshops on topics including commonsense reasoning, cultural biases in AI, and figurative language processing.
Explore AI cheating issues in B.C. universities like UBC, false accusations, unreliable detectors, policies, and solutions for ethical integration in higher education.
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