BEGIN:VCALENDAR
VERSION:2.0
PRODID:ILLC Website
X-WR-TIMEZONE:Europe/Amsterdam
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
X-LIC-LOCATION:Europe/Amsterdam
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:/NewsandEvents/Archives/2020/newsitem/12123/26
 -October---2-November-2020-International-Conferenc
 es-on-Logic-and-Artificial-Intelligence-at-Zhejian
 g-University-ZJULogAI-Explainable-AI-Virtual
DTSTAMP:20201019T142041
SUMMARY:International Conferences on Logic and Art
 ificial Intelligence at Zhejiang University (ZJULo
 gAI): Explainable AI, Virtual
DTSTART;VALUE=DATE:20201026
DTEND;VALUE=DATE:20201102
LOCATION:Virtual
DESCRIPTION:ZJULogAI 2020 (CLAR, AWPL, and GCAI) w
 ill take place as a three-day online event using Z
 oom on October 26 (Day 1), October 30 (Day 2), and
  November 2 (Day 3), 2020.  With their special foc
 us theme on Explainable AI, the conferences:   - C
 LAR2020 (Conference on Logic and Argumentation)   
 - AWPL2020 (Asian Workshop on Philosophical Logic)
    - GCAI2020 (Global Conference on Artificial Int
 elligence)  intend to promote the interplay betwee
 n logical approaches and machine learning-based ap
 proaches in order to make AI more transparent and 
 accountable.
X-ALT-DESC;FMTTYPE=text/html:\n  <p>ZJULogAI 2020 
 (CLAR, AWPL, and GCAI) will take place as a three-
 day online event using Zoom on October 26 (Day 1),
  October 30 (Day 2), and November 2 (Day 3), 2020.
 </p>\n\n  <p>With their special focus theme on Exp
 lainable AI, the conferences:<br>\n  &nbsp;- CLAR2
 020 (Conference on Logic and Argumentation)<br>\n 
  &nbsp;- AWPL2020 (Asian Workshop on Philosophical
  Logic)<br>\n  &nbsp;- GCAI2020 (Global Conference
  on Artificial Intelligence)<br>\n  intend to prom
 ote the interplay between logical approaches and m
 achine learning-based approaches in order to make 
 AI more transparent and accountable.</p>\n
URL:http://www.xixilogic.org/zjulogai/
END:VEVENT
END:VCALENDAR