AI and us
How we use artificial intelligence to preserve languages
AI is not just a tool for us — it is an ally in preserving and revitalizing languages at risk. We combine modern models with deep respect for linguistic diversity and cultural heritage.
Approach
Our AI approach
Every application starts from the same belief: technology should serve communities, not replace them. We use AI where it helps document, teach, and connect — and we refuse shortcuts that erase culture or invent what speakers never said.
Applications
Key AI applications
Language recognition
Speech systems that identify and transcribe spoken language — helping document oral tradition and everyday conversation.
Translation assistance
Tools that bridge languages while holding onto cultural context and nuance, not just word-for-word swaps.
Pattern recognition
Models that surface linguistic patterns and relationships — useful for documentation and analysis.
Content support
Assistance for educational materials and learning resources, always with community authenticity in mind.
Ethics
Ethical AI principles
Community involvement
Speakers and culture-bearers shape how AI is built and used.
Transparency
Clear about where AI is used and how decisions are made.
Protect sensitive culture
Communities control what is shared, stored, and generated.
- · Respect for cultural context and authenticity
- · Continuous improvement and community feedback
Stack
Technology we leverage
A practical mix of established AI techniques, applied carefully to low-resource language work.
- Natural language processing for text analysis
- Speech recognition for audio documentation
- Machine learning for pattern recognition
- Neural models for translation assistance
- Computer vision for document digitization
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