{"id":791759,"date":"2021-11-16T08:00:49","date_gmt":"2021-11-16T16:00:49","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=791759"},"modified":"2021-11-02T09:05:09","modified_gmt":"2021-11-02T16:05:09","slug":"research-talk-building-towards-a-responsible-data-economy","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/research-talk-building-towards-a-responsible-data-economy\/","title":{"rendered":"Research talk: Building towards a responsible data economy"},"content":{"rendered":"
Speaker: Dawn Song, Professor, UC Berkeley<\/p>\n
Data is a key driver of the modern economy and AI\/machine learning. However, a lot of this data is sensitive, and handling sensitive data has caused unprecedented challenges for both individuals and businesses. These challenges will only get more severe as we move forward in the digital era. In this talk, UC Berkeley Professor Dawn Song will talk about technologies needed for responsible data use including secure computing, differential privacy, federated learning, as well as blockchain technologies for data rights. Song will also discuss how to combine privacy computing technologies and blockchain to build a platform for a responsible data economy. The goal of such a platform is to enable more responsible use of data that maximizes social welfare and economic efficiency while protecting users\u2019 data rights and enabling fair distribution of value created from data.<\/p>\n