Microsoft Research334 тыс
Опубликовано 7 декабря 2022, 1:57
Keynote
Xing Xie, Microsoft Research Asia
With the rapid development of artificial intelligence, its social responsibility has received extensive attention. In this talk, I will present our recent research that we have conducted to solve important problems such as privacy protection, explainability, and ethics in AI. In particular, I will describe how we design methods to address the challenges posed by big models, including the huge overhead of computation and communication, and the impact of model complexity on its transparency and bias. At the same time, I will also share some of our thoughts on the crucial role of interdisciplinary research in this field.
Learn more about the Responsible AI Workshop: microsoft.com/en-us/research/e...
This workshop was part of the Microsoft Research Summit 2022: microsoft.com/en-us/research/e...
Xing Xie, Microsoft Research Asia
With the rapid development of artificial intelligence, its social responsibility has received extensive attention. In this talk, I will present our recent research that we have conducted to solve important problems such as privacy protection, explainability, and ethics in AI. In particular, I will describe how we design methods to address the challenges posed by big models, including the huge overhead of computation and communication, and the impact of model complexity on its transparency and bias. At the same time, I will also share some of our thoughts on the crucial role of interdisciplinary research in this field.
Learn more about the Responsible AI Workshop: microsoft.com/en-us/research/e...
This workshop was part of the Microsoft Research Summit 2022: microsoft.com/en-us/research/e...
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