Microsoft Research335 тыс
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Опубликовано 15 декабря 2022, 14:37
The advantages of large language models are undeniable, and they have been a focus of attention in industry and academia, due to the capabilities achieved. But as with all technological advancements, we must also consider the benefits and potential harms coming via uses of these models. Eric Horvitz, Microsoft's chief scientific officer, moderates this panel discussing the challenges arising at the intersection of large language models and responsible AI practices. Participants explore the ways industry, academia, and government can come together to help foster a strong ecosystem aimed at bringing society’s best interests to the fore.
Host: Eric Horvitz, Chief Scientific Officer, Microsoft
Panelists:
• Ahmed Awadallah, Senior Principal Research Manager, Microsoft Research
• Erwin Gianchandani, Assistant Director of the Directorate for Technology, Innovation & Partnerships, National Science Foundation
• Percy Liang, Associate Professor of Computer Science and Director of the Center for Research on Foundation Models, Stanford University
• Saurabh Tiwary, Corporate Vice President & Technical Fellow, Microsoft Turing
Learn more about the Microsoft Turing Academic Program Workshop: microsoft.com/en-us/research/e...
This workshop was part of the Microsoft Research Summit 2022: microsoft.com/en-us/research/e...
Host: Eric Horvitz, Chief Scientific Officer, Microsoft
Panelists:
• Ahmed Awadallah, Senior Principal Research Manager, Microsoft Research
• Erwin Gianchandani, Assistant Director of the Directorate for Technology, Innovation & Partnerships, National Science Foundation
• Percy Liang, Associate Professor of Computer Science and Director of the Center for Research on Foundation Models, Stanford University
• Saurabh Tiwary, Corporate Vice President & Technical Fellow, Microsoft Turing
Learn more about the Microsoft Turing Academic Program Workshop: microsoft.com/en-us/research/e...
This workshop was part of the Microsoft Research Summit 2022: microsoft.com/en-us/research/e...