Andrew Trask


Andrew Trask - really quick questions with an AI researcher

Aug 6, 2017

I ask 67 questions to Oxford Scholar and AI researcher Andrew Trask as we go for a walk through Granary Square in London, England. Trask is a PhD student at Oxford University where he researches Deep Learning approaches with special emphasis on human language. We worked together on my Udacity deep learning nanodegree and I have a great deal of respect for his technical storytelling ability.
 

Privacy preserving AI (Andrew Trask) | MIT Deep Learning Series

Jan 19, 2020

OUTLINE:
0:00 - Introduction
0:54 - Privacy preserving AI talk overview
1:28 - Key question: Is it possible to answer questions using data we cannot see?
5:56 - Tool 1: remote execution
8:44 - Tool 2: search and example data
11:35 - Tool 3: differential privacy
28:09 - Tool 4: secure multi-party computation
36:37 - Federated learning
39:55 - AI, privacy, and society
46:23 - Open data for science
50:35 - Single-use accountability
54:29 - End-to-end encrypted services
59:51 - Q&A: privacy of the diagnosis
1:02:49 - Q&A: removing bias from data when data is encrypted
1:03:40 - Q&A: regulation of privacy
1:04:27 - Q&A: OpenMined
1:06:16 - Q&A: encryption and nonlinear functions
1:07:53 - Q&A: path to adoption of privacy-preserving technology
1:11:44 - Q&A: recommendation systems
 
Back
Top