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X-WR-CALNAME:UA Applied Mathematics Seminar
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BEGIN:VEVENT
UID:20261016-applied-math-seminar@jiazhaomath.github.io
DTSTAMP:20261007T000000Z
DTSTART:20261016T150000Z
DTEND:20261016T155000Z
SUMMARY:Applied Mathematics Seminar: Aina G. Irbe — Towards Inclusive Int
 elligence: Defining the Research Challenges at the Intersection of Artific
 ial Intelligence\, Universal Design for Learning\, and Workplace Training
LOCATION:GP 208\, The University of Alabama\, Tuscaloosa\, Alabama
DESCRIPTION:Aina G. Irbe\, Chief Operating Officer\, Accessible Minds\nTowa
 rds Inclusive Intelligence: Defining the Research Challenges at the Inters
 ection of Artificial Intelligence\, Universal Design for Learning\, and Wo
 rkplace Training\nEarlier time and different room: 10:00–10:50 AM in GP 
 208.\nOrganizations are increasingly using artificial intelligence (AI) to
  create workplace and academic training. AI can generate content quickly\,
  adapt materials to different learners\, and deliver information in text\,
  audio\, and video. These features seem to align with Universal Design for
  Learning (UDL)\, a framework that supports diverse learners by providing 
 multiple means of engagement\, representation\, and action and expression.
  However\, being efficient and adaptive is not the same as being inclusive
 . AI-generated training can still overlook barriers related to disability\
 , accessibility\, language\, cognition\, and knowledge transfer.\n\nThis r
 aises three challenges in using AI to develop workplace and academic train
 ing: AI is often optimized for goals that don't reflect inclusive learning
 \, it can introduce new accessibility barriers or amplify existing ones\, 
 and there is no practical\, validated way to evaluate training developed w
 ith AI. A proposed six-dimension framework based on UDL and the Web Conten
 t Accessibility Guidelines (WCAG) offers a way to assess whether AI-develo
 ped training is accessible\, inclusive\, and educationally sound. Three re
 search questions and recommendations for future studies outline the next s
 teps needed to validate it.\nhttps://jiazhaomath.github.io/seminar/2026-20
 27.html#2026-10-16
URL:https://jiazhaomath.github.io/seminar/2026-2027.html#2026-10-16
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