Helping AI to learn about Indigenous cultures (via nytimes)
“The internet is not representative of the entire population, and when people are represented, it may not be accurate because of stereotypes and hate speech,” said Percy Liang, an associate professor of computer science at Stanford University and director of the school’s Center for Research on Foundation Models.
More representative, accurate data is beneficial not only to the groups it represents, but also to AI systems at large, said W. Victor H. Yarlott, an AI researcher at Florida International University, a member of the Crow Tribe of Montana and an IVOW collaborator. “I knew without me doing this that we would be in a worse spot in terms of literacy, and our culture,” he said.
“You know in dramas, you see the person trying to unravel a mystery and they have the corkboard and the little notes and the string between them?” Yarlott said. “That’s basically what the IKG is, but for cultural knowledge.” “It’s just a great metaphor for what we need to do as a society and as a people across the world,” Monteith said.
There are challenges, though. The process is labor intensive and expensive. IVOW is a self-funded enterprise, and the work of the collaborators is voluntary.
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