Future Imaginaries of Abundant Intelligences
The artificial intelligence industry-academic complex does not have an ethics problem so much as it has an epistemology problem. The persistent failures with computationally-enabled and -amplified bias are symptoms of a blind allegiance to knowledge frameworks that define the “knower” as a post-Enlightenment individual motivated by selfish utilitarianism while subordinating or erasing ways of understanding the world that imagine people differently.
How do we expand the operational definitions of intelligence to account for different epistemologies? In particular, how might we take inspiration from Indigenous knowledge frameworks that situate knowing within a web of relationships amongst humans and non-humans? And how might we consider integrating advanced computational practices, such as AI, into traditional knowledge frameworks to the benefit of Indigenous communities?
Accelerate impact: How to align design, data, and business to build products people actually use.
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