Overview
The Artificial Intelligence, Accessibility and Sign Language Center (AIASL) is an innovative initiative that focuses on integrating artificial intelligence (AI) into the realm of accessibility and sign language. This involves developing AI-driven solutions that enhance technology accessibility for individuals with disabilities, particularly those who use sign language. The center builds on theoretical foundations in both AI and accessibility, establishing guidelines and best practices for developing applications and services that are inclusive and effective.
Key areas of focus for the AIASL include:
- AI-Driven Sign Language Interpretation: Developing AI technologies that can accurately interpret sign language, thereby bridging communication gaps between deaf individuals and those who do not understand sign language.
- Accessible Technology Development: Creating AI-powered tools and applications that are specifically designed to be accessible for people with various disabilities. This might include voice-activated systems, enhanced visual interfaces, and other adaptive technologies.
- Research and Innovation: Conducting research on the intersection of AI, accessibility, and sign language to continually advance the field. This includes exploring new AI methodologies, user interface designs, and interaction models that cater to the needs of individuals with disabilities.
- Education and Training: Providing educational resources and training programs to help developers, designers, and other stakeholders understand the principles of accessible technology and the role of AI in enhancing accessibility.
- Policy and Advocacy: Working on developing and advocating for policies that promote the integration of AI in accessible technologies, ensuring that these innovations reach and benefit those who need them most.
News
Labs
Research Experience for Undergraduates: Accessible Information and Communications Technologies
Explore Gallaudet University's Center for AI, Accessibility, and Sign Language, dedicated to enhancing accessible information and communication technologies for all.
Meet the Team
Raja Kushalnagar
Professor
Matthew Seita
Associate Research Scientist
Jonah Winninghoff
Research Analyst
Sev Huffman
ML Programmer
Bryan Raffa
AI Annotator/GR0195
Contact
- Artificial Intelligence, Accessibility and Sign Language Center
- SLCC | 1110
- click to show email
- (202) 651-5085
- (202) 250-2071
Monday
9:00 am-4:00 pm
Tuesday
9:00 am-4:00 pm
Wednesday
9:00 am-4:00 pm
Thursday
9:00 am-4:00 pm
Friday
9:00 am-4:00 pm
