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DTSTART:20180311T030000
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DTSTAMP:20180725T223219Z
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DTSTART;TZID=America/Toronto:20180724T110000
DTEND;TZID=America/Toronto:20180724T120000
DESCRIPTION:Abstract: SmartData is the evolution of Privacy by Design – P
 bD 2.0\, which moves control from the organization and places it directly 
 in the hands of the data subject\, where it belongs. Instead of having a o
 ne-to-many oversight mechanism wherein one organization is responsible for
  protecting the privacy of many individuals\, the goal is to evolve a one-
 to-one oversight mechanism whereby an individual would be responsible for 
 one set of personal data – one’s own data. In a world where personal i
 nformation can increasingly be transmitted and used in multiple locations 
 simultaneously\, protecting privacy may only truly be accomplished if the 
 information itself becomes ‘intelligent’ and capable of making appropr
 iate decisions\, relating to its release\, on behalf of the data subject. 
 In other words\, the data must become “smart.” Accordingly\, protectin
 g privacy and security becomes a multi-domain task\, where each domain mus
 t be seamlessly integrated into a functioning whole which we call SmartDat
 a. However\, using deep learning techniques alone becomes problematic in t
 erms of seamlessly integrating many domains\, current and future\, into a 
 functioning whole that can also learn online.\n\nCo-sponsored by: Dr. Alir
 eza Sadeghian\n\nSpeaker(s): Dr. George Tomko\, \n\nRoom: BA 1190\, Bldg: 
 Bahen Centre for Information Technology\, \, University of Toronto \, 40 S
 t. George Street\, Toronto\, Ontario\, Canada\, M5S 2E4
LOCATION:Room: BA 1190\, Bldg: Bahen Centre for Information Technology\, \,
  University of Toronto \, 40 St. George Street\, Toronto\, Ontario\, Canad
 a\, M5S 2E4
ORGANIZER:asadeghi@ryerson.ca
SEQUENCE:3
SUMMARY:SmartData: The Return of Embodied Cognition: Developing Intelligent
  Agents
URL;VALUE=URI:https://events.vtools.ieee.org/m/175076
X-ALT-DESC:Description: <br /><p><strong>Abstract:</strong> SmartData is th
 e evolution of Privacy by Design &ndash\; PbD 2.0\, which moves control fr
 om the organization and places it directly in the hands of the data subjec
 t\, where it belongs. Instead of having a one-to-many oversight mechanism 
 wherein one organization is responsible for protecting the privacy of many
  individuals\, the goal is to evolve a one-to-one oversight mechanism wher
 eby an individual would be responsible for one set of personal data &ndash
 \; one&rsquo\;s own data.&nbsp\; In a world where personal information can
  increasingly be transmitted and used in multiple locations simultaneously
 \, protecting privacy may only truly be accomplished if the information it
 self becomes &lsquo\;intelligent&rsquo\; and capable of making appropriate
  decisions\, relating to its release\, on behalf of the data subject. In o
 ther words\, the data must become &ldquo\;smart.&rdquo\; Accordingly\, pro
 tecting privacy and security becomes a multi-domain task\, where each doma
 in must be seamlessly integrated into a functioning whole which we call Sm
 artData.&nbsp\; However\, using deep learning techniques alone becomes pro
 blematic in terms of seamlessly integrating many domains\, current and fut
 ure\, into a functioning whole that can also learn online.</p>
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