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BEGIN:VEVENT
SUMMARY:Generating Accurate Captions and Transcripts Using AI Tools
DTSTART;VALUE=DATE-TIME:20261022T170000Z
DTEND;VALUE=DATE-TIME:20261022T190000Z
UID:520813403430
DESCRIPTION:Facilitated by Cody Bailey-CrowSession Description: While aut
 omated speech-to-text tools have revolutionized multimedia production\, ra
 w AI outputs fall short of the strict compliance standards mandated by ADA
  Title II and WCAG 2.1 AA. This session explores how faculty and staff can
  leverage modern AI tools to jumpstart multimedia accessibility while main
 taining the rigorous precision required for specialized medical education.
  Participants will practice workflows for converting raw auto-generated ca
 ptions into accurate transcripts\, thus meeting Title II compliance requir
 ements. The second hour provides a hands-on open studio to audit\, edit\,
  and remediate the captions and transcripts of your own video lectures\, i
 nstitutional podcasts\, or clinical demonstration recordings in real time.
 Learning Objectives:  Evaluate and select appropriate AI-driven captionin
 g and transcription platforms (Panopto\, Yuja\, and YouTube) and recognize
  the limitations of raw automated speech recognition in medical contexts.P
 ractice reviewing and editing AI-generated captions to ensure 100% accurac
 y\, proper formatting\, and speaker identification for complex clinical te
 rminology and anatomical terms.Establish a streamlined multimedia workflow
  that meets WCAG 2.1 AA standards for synchronized captions and descriptiv
 e transcripts across institutional learning platforms.Understand best-prac
 tices in audio-recording discipline and how to achieve them for both in-pe
 rson and remotely-recorded sessions. Date &amp\; Time: October 22 (1:00-3
 :00pm)
LOCATION:478 O'Dowd
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