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/2024/newsitem/15080/4-
 --5-November-2024-New-Perspectives-on-Bias-and-Dis
 crimination-in-Language-Technology
DTSTAMP:20240801T145604
SUMMARY:New Perspectives on Bias and Discriminatio
 n in Language Technology
DTSTART;VALUE=DATE:20241104
DTEND;VALUE=DATE:20241105
LOCATION:Amsterdam, the Netherlands
DESCRIPTION:One of the central issues discussed in
  the context of the societal impact of language te
 chnology is that machine learning systems can cont
 ribute to discrimination, for instance by propagat
 ing human biases and stereotypes. Despite efforts 
 to address these issues, we are far from solving t
 hem.  The goal of this workshop is to bring togeth
 er researchers from different fields to discuss th
 e state of the art on bias measurement and mitigat
 ion in language technology and to explore new aven
 ues of approach. For more information, read our Ca
 ll for Abstracts.  Authors can submit an anonymous
  abstract of max 800 words (excluding references),
  with an optional additional page for tables and f
 igures. Abstracts can be submitted using EasyChair
 . We ask authors to indicate their preference for 
 one of two presentation formats:20 minutes talk wi
 th 10 minutes discussion, or poster presentation.
X-ALT-DESC;FMTTYPE=text/html:<div>\n  <p>One of th
 e central issues discussed in the context of the s
 ocietal impact of language technology is that mach
 ine learning systems can contribute to discriminat
 ion, for instance by propagating human biases and 
 stereotypes. Despite efforts to address these issu
 es, we are far from solving them.</p>\n  <p>The go
 al of this workshop is to bring together researche
 rs from different fields to discuss the state of t
 he art on bias measurement and mitigation in langu
 age technology and to explore new avenues of appro
 ach. For more information, read our Call for Abstr
 acts.</p>\n</div><div>\n  <p>Authors can submit an
  anonymous abstract of max 800 words (excluding re
 ferences), with an optional additional page for ta
 bles and figures. Abstracts can be submitted using
  <a href="https://easychair.org/conferences/?conf=
 wai21">EasyChair</a>. We ask authors to indicate t
 heir preference for one of two presentation format
 s:20 minutes talk with 10 minutes discussion, or p
 oster presentation.</p>\n</div>
URL:https://wai-amsterdam.github.io/index.html
CONTACT:Katrin Schulz at k.schulz at uva.nl
END:VEVENT
END:VCALENDAR