Webinar: “Powerful Generative Models and Responsible AI”

To access this webinar, please register here: https://hubs.li/Q01TGRBP0

Topic: “Powerful Generative Models and Responsible AI”

Speaker: Mei Chen, Principal Research Manager at Microsoft Cloud & AI

She leads ROAR (Responsible & Open Ai Research) to build state-of-the-art multimodal multilingual technology that is context-aware and culturally sensitive to serve diverse customer needs. ROAR's technology have been deployed in new Bing powered by LLM, Bing Image Creator powered by DALL-E 2, Office Designer powered by DALL-E 2, Azure OpenAI Service, Github Copilot, and the Azure AI Content Safety Service. ROAR’s research has consistently been published at prestigious conferences including CVPR, ACL, ICCV, and ECCV. From 2018 to 2020, Mei served as Chief Scientist to the Corporate Vice President for Computer Vision at Microsoft. From 2014 to 2018, she was an Associate Professor at the State University of New York at Albany. From 2011 to 2014, she built and led the Intel Science & Technology Center on Embedded Computing hosted at Carnegie Mellon University. Mei’s work in computer vision has won three Best Paper Awards, and her services to the research community include journal editorial for IJCV and MVA and conference chair at CVPR, ICCV, and ICVS. She earned a Ph.D. in Robotics from the School of Computer Science, Carnegie Mellon University, and an M.S. and B.S. from Tsinghua University, Beijing, China.

Abstract:
Powerful generative models have revolutionized the field of AI and ignited the business world, but their potential for misuse has also raised global concerns. Responsible AI, which has been gaining attention thanks to real-world productization of AI, has become increasingly critical in the safe deployment of these models. In this public forum, Mei will share insights and considerations from a research perspective, focusing on the challenges for multimodal responsible AI and their ongoing investigations. Their work not only achieves SOTA performance on benchmarks across all modalities, but also integrates seamlessly to support complex real world application scenarios.

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