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Thread: Andrew Trask

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    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.

  3. #3


    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

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