معرفی
Dr. Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia (UBC) and a CIFAR AI Chair at the Vector Institute. Her research focuses on advancing natural language processing (NLP) with an emphasis on common sense reasoning, culturally-inclusive AI, and vision-language models. She holds a PhD from Bar-Ilan University and completed postdoctoral research at the Allen Institute for AI and the University of Washington.
Her work addresses challenges in NLP such as cultural bias in AI systems, commonsense knowledge integration, and multimodal reasoning. Notable contributions include the WikiGap initiative to bridge knowledge gaps in multilingual Wikipedia editions and the CulturalBench benchmark for evaluating cultural competence in models. She teaches courses like CPSC 436N (Natural Language Processing) and CPSC 532V (Commonsense Reasoning in NLP) at UBC.
Dr. Shwartz has received the Canada CIFAR AI Chair award (2022) and actively contributes to conferences and workshops on NLP fairness, commonsense reasoning, and ethical AI. Her research emphasizes the societal impact of AI, advocating for culturally aware and equitable systems.
