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UID:20240419T030100UTC-3340db6799@https://cdt.org
DTSTAMP:20240419T030100Z
DESCRIPTION:Mind the Gap: Can Large Language Models Analyze Non-English Con
 tent?\nTime: 10:00 AM EDT\nDate: May 24\, 2023\nFrom search engines to soc
 ial media to hiring algorithms\, automated systems increasingly shape peop
 le&#8217\;s online experiences worldwide. Despite internet users speaking 
 thousands of languages\, most of these systems are primarily trained using
  English-language data. Computer scientists claim that they have found a s
 olution to this linguistic gap in a new technology called “multilingual la
 nguage models.” Multilingual language models work similarly to the languag
 e models that power new generative systems like ChatGPT\, but instead of b
 eing trained on millions of examples of text in mostly one language\, they
  pull text from dozens or hundreds of languages and learn connections betw
 een them.\nBut do these multilingual language models work as well as compa
 nies say they do? A new technical primer by CDT shows that these systems m
 ay have key shortcomings which only compound when used to analyze non-Engl
 ish languages. \nThis panel will convene NLP researchers building systems 
 and digitizing languages spoken by millions of people in India and South A
 frica\, content policy experts evaluating the impact these systems have on
  users’ rights\, and CDT’s research and policy team members for a deep div
 e into how these multilingual language models work\, what their capabiliti
 es and limitations are\, how they can be improved\, and what’s at stake wh
 en these systems fall short. \nSpeakers:\n\nAliya Bhatia\, Center for Demo
 cracy &amp\; Technology\nGabriel Nicholas\, Center for Democracy &amp\; Te
 chnology\nDr Monojit Choudhury\, Microsoft\nDr Vukosi Marivate\, Universit
 y of Pretoria\, Lelapa AI and Masakhane NLP\nJacqueline Rowe\, Global Part
 ners Digital\n\nView Livestream 
DTSTART:20230524T140000Z
DTEND:20230524T151500Z
LOCATION:Online
SUMMARY:Mind the Gap: Can Large Language Models Analyze Non-English Content
 ?
URL:https://cdt.org/event/mind-the-gap-can-large-language-models-analyze-no
 n-english-content/
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