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DTSTART:20241103T090000
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BEGIN:VEVENT
UID:01bbf65d-aad4-4377-bacb-7eafe46f6c63
DTSTAMP:20241030T131430Z
SUMMARY:Demonstration of AI Powered Accessibility Auditing
DTSTART;TZID=America/Los_Angeles:20240925T111500
DTEND;TZID=America/Los_Angeles:20240925T121500
DESCRIPTION:https://www.w3.org/events/meetings/01bbf65d-aad4-4377-bacb-7eaf
 e46f6c63/\n\nThis session will demonstrate how Artificial Intelligence can
  be used for a number of accessibility analysis tasks in natural language 
 processing\, image understanding and design evaluation.\n\nAgenda\n\n**Cha
 irs:**\nDavid Fazio\n\n**Description:**\nThis session will demonstrate how
  Artificial Intelligence can be used for a number of accessibility analysi
 s tasks in natural language processing\, image understanding and design ev
 aluation.\n\n**Goal(s):**\nDemonstrate the power of AI-driven rule engines
  to enhance accessibility auditing capabilities and reduce the need for ma
 nual auditing efforts.\n\nAdditional session chairs (Optional)\n\n@nehamja
 dhav\n\n\n**Agenda:**\nShare & Discuss Current Implementation:\n- Abbrevia
 tions\n- Idioms and Phrases\n- Text from Images\n- Localization\n- Languag
 e and Context Analysis (Link Titles)\n\nFuture Implementation\n- Screen Re
 cording Analysis\n- Video/Audio File Analysis\n- Image Analysis\n- Pattern
  and Relationship Recognition\n- Dynamic Content Analysis\n\n**Materials:*
 *\n- [minutes](https://www.w3.org/2024/09/25-ai-powered-accessibility-minu
 tes.html)\n- [recording](https://www.w3.org/2024/09/breakouts/recording-19
 .html)\n- [Session proposal on GitHub](https://github.com/w3c/tpac2024-bre
 akouts/issues/19)\n\n**Track(s):**\n- AI
STATUS:CONFIRMED
CREATED:20240916T214937Z
LAST-MODIFIED:20241030T131430Z
SEQUENCE:1
ORGANIZER;CN=W3C Calendar;PARTSTAT=ACCEPTED;ROLE=NON-PARTICIPANT:mailto:nor
 eply@w3.org
LOCATION:2 Ballroom Level - California A
CATEGORIES:TPAC 2024,Breakout Sessions
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