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AI for Good Innovate for Impact
Use Case 15: AI-Powered Universal Communication Platform:
Breaking Down Barriers Through Collaborative Innovation 4.4-Productivity
Country: United Kingdom
Organization: The Scott-Morgan Foundation
Contact Person(s): LaVonne Roberts, lavonne@ s cottmorgan foundation .org, +1 512 695-4500
1 Use Case Summary Table
Item Details
Category Productivity
Over 500 million people worldwide face barriers to communication.
Research shows only 18.2% of students needing communication
support receive any form of Augmentative and Alternative Commu-
Problem Addressed
nication(AAC), with just 4.8% accessing speech-generating devices.
Traditional assistive technologies exist in isolated silos-prohibitively
expensive, medically classified, and lacking integration.
Eye-tracking and adaptive input systems with Large Language Models
(LLMs) for prediction Personalized voice synthesis (ElevenLabs) and
Key Aspects of Solu- avatar representation (D-ID) Open ecosystem approach connecting
tion
previously siloed technologies Consumer hardware platform reducing
costs by 80%
Ecosystem integration,Voice synthesis,Avatar generation, Eye- tracking,
Technology Keywords
LLMs Assistive technology
Private - Personal voice samples and user interaction data (with strict
Data Availability
privacy controls)
Metadata (Type of Audio (voice samples), Image (eye-tracking data,facial expressions), Text
Data) (user communication)
Voice models from limited samples LLMs for prediction Computer vision
Model Training
for eye-tracking
427
