filmov
tv
Data Sovereignty and Decentralized Data Science in Web3 with Dawn Song
Показать описание
Data is a key driver of modern economy and AI/machine learning, however, a lot of this data is sensitive and handling the 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, Prof. Dawn Song will talk about how Web3 technologies including decentralized identities, policy-compliant decentralized computation, and data sovereignty can help provide a paradigm shift to enable users and data owners to maintain better control of their data and get better benefits from their data, and break down data silos and enable data commons for public good through decentralized data science. By combining technologies including secure computing, differential privacy, federated learning, as well as blockchain technologies for data rights, we can build a platform for a responsible data economy, to enable more responsible use of data that maximizes social welfare & economic efficiency while protecting users’ data rights and enable fair distribution of value created from data.
Dawn Song
Founder
Oasis Labs
Dawn Song is the founder of Oasis Labs and a professor in the Department of Electrical Engineering and Computer Science at the University of California at Berkeley. Her research interest lies in AI and deep learning, security and privacy, and blockchain. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and numerous Test-of-Time Awards and Best Paper Awards from top conferences in Computer Security and Deep Learning. She is an ACM Fellow and an IEEE Fellow. She is ranked the most cited scholar in computer security (AMiner Award). She obtained her Ph.D. degree from UC Berkeley. She is also a serial entrepreneur and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators. Oasis Labs, which raised $45million from investors that include a16z crypto, Binance Labs, DCVC, Electric Capital, and Pantera in 2018.
Dawn Song
Founder
Oasis Labs
Dawn Song is the founder of Oasis Labs and a professor in the Department of Electrical Engineering and Computer Science at the University of California at Berkeley. Her research interest lies in AI and deep learning, security and privacy, and blockchain. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and numerous Test-of-Time Awards and Best Paper Awards from top conferences in Computer Security and Deep Learning. She is an ACM Fellow and an IEEE Fellow. She is ranked the most cited scholar in computer security (AMiner Award). She obtained her Ph.D. degree from UC Berkeley. She is also a serial entrepreneur and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators. Oasis Labs, which raised $45million from investors that include a16z crypto, Binance Labs, DCVC, Electric Capital, and Pantera in 2018.