BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:68b69a94f2d1e
DTSTART;TZID=America/Toronto:20231113T120000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20231113T130000
URL:/computer-science/events/phd-seminar-artificial-int
 elligence-unraveling-the-dilemma-of-ai-errors
SUMMARY:PhD Seminar • Artificial Intelligence • Unraveling the Dilemma 
 of\nAI Errors: Exploring the Effectiveness of Human and Machine\nExplanati
 ons for Large Language Models
CLASS:PUBLIC
DESCRIPTION:Summary \n\nPLEASE NOTE: THIS PHD SEMINAR WILL TAKE PLACE ONLIN
 E.\n\nMARVIN PAFLA\, PHD CANDIDATE\n_David R. Cheriton School of Computer 
 Science_\n\nSUPERVISORS: Professors Kate Larson\, Mark Hancock\n\nWith the
  rise of large language models (LLMs) like GPT\, the field of\neXplainable
  artificial intelligence (XAI) has exploded and produced a\nplethora of me
 thods  (e.g.\, saliency-maps) to gain insight into deep\nneural nets. How
 ever\, human-participant studies question the efficacy\nof these methods\,
  particularly when the AI output is wrong.\n 
DTSTAMP:20250902T071948Z
END:VEVENT
END:VCALENDAR