Notes – Naomi Klein & Karen Hao: The Empire of AI and the Fight for Our Future
#Here are a few notes from this talk at UBC’s Chan Centre with Karen Hao and Naomi Klein. Despite the overwhelming scope of the damage Big Tech is doing, I came away genuinely hopeful for the opportunities there are to do things differently and regain our agency in life and creativity and business and everything.
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We need to resist the narrative that progress requires exponential scale – the idea that this hyperscaling, extractive path to beneficial AI tools is inevitable. It’s a religious belief propagated by some executives and repeated by people excited about ideas like AGI. We’re making increasingly sophisticated illusions of sentience that people are turning into theologies.
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Think deeply. Humans have automation bias and are pre-disposed to believe that an automatic analysis of a vast data archive is bound to be correct. This affects decision making.
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“They’re selling us the benefits of bicycles while building the rockets.” Big Tech has marketed genAI as a Magical Everything Button, when what we need are the “bicycles of AI” – application-specific tools. These can and do exist! But funding is being pushed toward the behemoth companies.
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Klein: AGI is now defined as the point at which the majority of human economic activity is replaced by machines. (And this is supposed to be… good?)
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public opinion about generative AI has swung wildly in the last 2 years (validating).
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There needs to be much more transparency across the AI supply chain.
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AI regulation is a cross-partisan issue. 80% of Americans think regulation on AI is needed.
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Hao pointed to a bunch of examples of the “bicycles of AI”: e.g. a radio station in Aotearoa NZ that use language learning tools to help preserve the language spoken by Māori. Crucially, this was 1) a locally controlled, purpose-built tool and 2) built with the consent of elders and the community.
Other threads to pull on later:
- Creators Coalition on AI
- Distributed AI Research Institute
- Climate Change AI. A group working out how AI could mitigate the climate crisis. See whitepaper.