Current AI architectures are ill-suited to situations where there are many data holders and stakeholders, in part because they copy data to use in learning algorithms (thus posing attack risk and making control of data difficulty) and in part because sharing data between partners risks leaking of proprietary and private data. Prof. Alex 'Sandy' Pentland will talk about federated data and learning methods, including those that use only encrypted data, that are intrinsically more secure than today's typical AI methods.

Topic  AI with Trusted Data (Poster)
Speaker Prof. Alex 'Sandy' Pentland
Toshiba Professor of Media Arts and Sciences
Massachusetts Institute of Technology (MIT)
Faculty Director
MIT Connection Science
Date 12 July 2019 (Friday)
Time 11:00 a.m. - 12:00 n.n.
Venue Room TU107
Medium English
Registration Link https://polyu.hk/JyQiB
Registration deadline Seats are limited and registration is on a first-come, first-served basis.

About Speaker

Professor Alex 'Sandy' Pentland directs the MIT Connection Science and Human Dynamics labs and previously helped create and direct the MIT Media Lab and the Media Lab Asia in India. He is one of the most-cited scientists in the world, and Forbes recently declared him one of the "7 most powerful data scientists in the world" along with Google founders and the Chief Technical Officer of the United States. co-led the World Economic Forum discussion in Davos that led to the EU privacy regulation GDPR, and was central in forging the transparency and accountability mechanisms in the UN's Sustainable Development Goals. He has received numerous awards and prizes such as the McKinsey Award from Harvard Business Review, the 40th Anniversary of the Internet from DARPA, and the Brandeis Award for work in privacy.