BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Istanbul BEGIN:DAYLIGHT DTSTART:20380119T061407 TZOFFSETFROM:+0300 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1 TZNAME:+03 END:DAYLIGHT BEGIN:STANDARD DTSTART:20160907T000000 TZOFFSETFROM:+0300 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=1WE;BYMONTH=9 TZNAME:+03 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230911T205739Z UID:05FB6445-F40F-4AA0-882F-D7D85253B538 DTSTART;TZID=Europe/Istanbul:20230329T200000 DTEND;TZID=Europe/Istanbul:20230329T220000 DESCRIPTION:Unveil the black box of Artificial Intelligence with XAI.\nIn t oday's world\, AI models are becoming increasingly complex and powerful wh ich can make it difficult to understand why and how a decision was made. T he remarkable success of language models\, GPT variants in particular\, gi ves rise to several concerns about their trustworthiness\, ethics\, and ac countability. In this view\, Explainable AI (XAI) is an emerging field in which researchers are working towards supporting automated decisions with human-understandable evidence to engender user trust and encourage wider a doption.\n\nWhether you are a machine learning practitioner\, a business l eader\, or simply interested in the future of AI\, this event will provide valuable insights into the importance of XAI and its application to exist ing state-of-the-art models and AI systems.\n\nSpeaker(s): Julia\, \n\nVir tual: https://events.vtools.ieee.org/m/372955 LOCATION:Virtual: https://events.vtools.ieee.org/m/372955 ORGANIZER:ieee.beirutarabuniversity@gmail.com SEQUENCE:19 SUMMARY:AI series part 2: Unveiling the Black Box: Introduction to XAI URL;VALUE=URI:https://events.vtools.ieee.org/m/372955 X-ALT-DESC:Description: <br /><p>Unveil the black box of Artificial Intelli gence with XAI.<br />In today's world\, AI models are becoming increasingl y complex and powerful which can make it difficult to understand why and h ow a decision was made. The remarkable success of language models\, GPT va riants in particular\, gives rise to several concerns about their trustwor thiness\, ethics\, and accountability. In this view\, Explainable AI (XAI) is an emerging field in which researchers are working towards supporting automated decisions with human-understandable evidence to engender user tr ust and encourage wider adoption.</p>\n<p>Whether you are a machine learni ng practitioner\, a business leader\, or simply interested in the future o f AI\, this event will provide valuable insights into the importance of XA I and its application to existing state-of-the-art models and AI systems.< /p> END:VEVENT END:VCALENDAR