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University of Cambridge > Talks.cam > Cambridge ML Systems Seminar Series > Towards the Responsible Development of Foundation Model and Generative AI
Towards the Responsible Development of Foundation Model and Generative AIAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Sally Matthews. Foundation Model and Generative AI are among the most promising topics nowadays. However, their rapid developments also raise a series of critical challenges on responsibility such as privacy, security and Intellectual property (IP). In this talk, I will touch on the relevant risks and how we are championing the responsible development of Foundation Model and Generative AI, including using Federated Learning to empower the training/fine-tuning/adaptation of foundation models without touching on the original data; training models on public and synthetic data only; strategies to detect and address the unauthorized data usage, training data memorization, and IP infringements, ensuring compliance and trust. Bio: Dr. Lingjuan Lyu is currently leading the privacy-preserving machine learning and vision foundation model team in Sony Research. Her main research interests include the low-cost foundation model and generative AI model development, responsible AI, and federated learning. She has won a series of awards, including AI 10 to Watch, IJCAI Early Career Spotlight, IEEE Outstanding Leadership Award, IBM Ph.D. Fellowship, National Scholarship, and Best/Outstanding/Oral/Spotlight paper awards or recognitions from top venues like ICML , ACL, CIKM , NeurIPS, AAAI , IJCAI, WWW , and KDD . She also served as a chair, committee member, or organizer of top conferences including her recent role as a chair for NeurIPS’24 Datasets and Benchmarks. This talk is part of the Cambridge ML Systems Seminar Series series. This talk is included in these lists:
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