Nicole Horseherder has seen the impacts of unsustainable development on Indigenous communities. A Navajo environmental activist and co-founder of Tó Nizhóní Ání (Sacred Water Speaks), a Diné-led nonprofit organization based in Arizona in the U.S., she has spent years protecting water that sustains communities from industrial use. She sees parallels with today’s artificial intelligence development, she said. As technology is advancing at an unprecedented rate, a growing body of research is looking at Indigenous knowledge systems for guidance on ethical frameworks for AI. But for someone like Horseherder, Indigenous knowledge is not data to be harvested, she said. “It is built on thousands of years of real-time human observations on the changes in landscapes, the weather and the seasons, the directions of the moon, the sun and everything around us,” she said. Within the Navajo community, people living in different landscapes including the high-deserts, river valleys and dry to arid places have their own local knowledge systems. A recent study published in AI and Ethics journal examines how Indigenous ecological knowledge could reshape AI frameworks through an analysis of Navajo and Māori concepts. The paper drew on Māori value of Kaitiakitanga, or guardianship, and Navajo philosophy of Hózhó, meaning balance and harmony. The study’s authors said that traditional ecological knowledge embodies collective responsibility and could provide an ethical basis for questioning whether the scale of a proposed AI model is justifiable given its environmental cost, prioritizing ecological integrity over unbounded technological expansion. This rainforest in Ituri, DRC, is part of…This article was originally published on Mongabay

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