Artificial intelligence is often discussed in relation to the risks it poses for Indigenous communities, such as cultural appropriation, distortion of traditions, or digital exclusion. However, researchers and Indigenous knowledge holders argue that this perspective overlooks the adaptability of Indigenous cultures. Many First Nations societies have preserved knowledge for thousands of years through oral traditions—stories, songs, ceremonies, and art—which are collectively remembered and passed through generations. Because these systems already rely on distributed knowledge and storytelling, they may actually align well with conversational AI technologies.
One challenge facing many Indigenous communities is that large amounts of cultural knowledge were recorded by anthropologists, linguists, and filmmakers and are now stored in distant archives and institutions. These recordings, field notes, and genealogical records contain valuable information about culture, heritage, and governance, yet they are often difficult for communities themselves to access. In some cases, these materials even influence modern decisions such as land rights and heritage management, making access and accuracy critically important.
Researchers working with Traditional Owners in Australia’s Kimberley region began using the AI system Claude to analyze decades-old archival material. The AI helped decipher difficult handwritten notes, cross-reference genealogies from multiple sources, and organize large collections of scanned documents. Tasks that might normally take researchers months could be completed in hours. When the AI was restricted to a carefully curated set of trusted documents instead of the open internet, it also allowed users to ask questions about cultural knowledge and receive answers based only on verified sources.
Despite its potential, AI still has limitations when dealing with cultural heritage. Current systems do not inherently understand cultural protocols, such as knowledge that may only be shared with certain groups based on gender, age, or ceremonial authority. Because of these risks, researchers propose building community-controlled AI systems where Indigenous communities decide what information can be included and how it is used. Rather than replacing oral traditions, such tools could help younger generations interact with their heritage through conversation—keeping cultural knowledge alive while respecting community governance.
