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DTSTART:20240310T070000
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DTSTART:20231105T060000
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UID:69f4661df02d8
DTSTART;TZID=America/Toronto:20241021T120000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/associate-vice-president-academic/events/introduci
 ng-artificial-intelligence-disclosure-aid-framework
SUMMARY:Introducing The Artificial Intelligence Disclosure (AID) Framework
CLASS:PUBLIC
DESCRIPTION:LOCATION: Online\n\nFACILITATORS: Kari Weaver\n[https://uwate
 rloo.ca/library/about/people/kari-weaver]\n\nJoin Kari D. Weaver (Library)
  in this 60-minute online workshop as she\nintroduces the newly launched 
 Artificial Intelligence Disclosure\n(AID) Framework [https://arxiv.org/abs
 /2408.01904]. This tool\nprovides a transparent\, consistent\, and target
 ed approach to attribute\nthe use of artificial intelligence in teaching a
 nd research work. In\naddition to the introduction of the AID Framework it
 self\, participants\nwill have the opportunity to workshop a classroom app
 lication of this\ntool and discuss potential needs and adaptations across 
 academic\ndisciplines. This session is sponsored by the AVPA Standing Com
 mittee\non New Technologies\, Pedagogies\, and Academic Integrity and\nth
 e Library.
DTSTAMP:20260501T083646Z
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BEGIN:VEVENT
UID:69f4661df399a
DTSTART;TZID=America/Toronto:20241021T100000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20241021T110000
URL:https://uwaterloo.ca/associate-vice-president-academic/events/cheating-
 myths-realities
LOCATION:MC - Mathematics & Computer Building 200 University Avenue West MC
  2036 Waterloo ON N2L 3G1 Canada
SUMMARY:Cheating Myths & Realities
CLASS:PUBLIC
DESCRIPTION:LOCATION: MC2036\n\nFACILITATORS: Amanda McKenzie\n[https://u
 waterloo.ca/academic-integrity/people-profiles/amanda-mckenzie] and Juli
 e\nPiatek [https://uwaterloo.ca/academic-integrity/profiles/julie-piatek]\
 n\n​Amanda McKenzie and Julie Piatek from the Office of Academic\nIntegr
 ity will host a 60-minute workshop that explores common myths\nabout cheat
 ing as well as the new realities facing instructors in an\nera of ubiquito
 us generative artificial intelligence.\n\nParticipants will:\n\n* Learn ab
 out students who cheat and why.\n * Understand the pervasiveness of genera
 tive artificial intelligence\nin academia.\n * Explore options for identif
 ying cheating.\n * Consider ways to dissuade cheating behaviour.
DTSTAMP:20260501T083646Z
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