BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250626T234543Z
LOCATION:B309
DTSTART;TZID=America/New_York:20241118T141800
DTEND;TZID=America/New_York:20241118T142100
UID:submissions.supercomputing.org_SC24_sess753_ws_whpc117@linklings.com
SUMMARY:Women in AI - Challenges and Solutions
DESCRIPTION:Ying Zhang (University of Florida)\n\nArtificial Intelligence 
 (AI) has become one of the most transformative technologies in this centur
 y and permeates nearly every facet of our existence. Despite its rapid gro
 wth and deep societal impact, the field of AI faces a significant gender d
 isparity. Women are underrepresented in AI, both in industry and academia.
  This gender gap is not just a social issue -- it has a profound impact on
  the development of AI systems, potentially leading to biased applications
  that can exacerbate existing inequalities. The current status of women in
  AI reflects broader systemic issues in STEM fields, including gender bias
 es in education systems, the lack of role models, and a work culture that 
 often marginalizes women’s contributions. This presentation explores the c
 hallenges faced by women in AI and presents approaches that the University
  of Florida’s Women in High Performance (WHPC) Chapter took to overcome th
 e barriers.\n\nTag: Broader Engagement, HPC in Society, Inclusivity\n\nReg
 istration Category: Workshop Reg Pass\n\nSession Chairs: Elsa J. Gonsiorow
 ski (Lawrence Livermore National Laboratory (LLNL)) and Mozhgan Kabiri chi
 meh (NVIDIA Corporation)\n\n
END:VEVENT
END:VCALENDAR