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- Gallaudet has an institutional AI initiative through the Artificial Intelligence, Accessibility and Sign Language Center, which focuses on accessibility and sign language applications, and it states that the center establishes guidelines and best practices
- In a linguistics position statement on ASL and AI tools, the university explicitly says not to train AI models on new signers or hearing interpreters and says deaf communities must be involved from inception to implementation so that ethical decisions are made
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.
These decisions must be made with the involvement of the communities who are familiar with that context. Not some unknowledgeable person who applies the wrong filters and the resulting outputs are then used for the wrong purposes. This also presents an ethical conflict.
We have to consider both those factors and we must have the deaf communities involved from inception to implementation to ensure that clear ethical decisions are made in regards to language use.
In short: The best language models are those who depend on and use those languages everyday. Don’t train AI models on new signers or hearing interpreters. Signing deaf representation is important.
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Gallaudet University's AI Policies
Gallaudet University has defined AI policies in 1 of 12 categories, with an overall coverage score of 8%.
No explicit disclosure requirement is currently defined in the available policy sources.
No explicit detection or enforcement process is currently defined in the available policy sources.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.