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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Strategic stability exists when neither side thinks it can improve its strategic outcome by striking first.

Strategic stability exists when neither side thinks it can improve its strategic outcome by striking first.
We have seen great advances in Artificial Intelligence in recent years. To me as an AI practitioner and educator, this raises two questions: First, what do learners need to know about AI (and machine learning, and data science) today, and how can they best learn that? Second, how can the technologies of AI be used to facilitate learning in all subjects?
Distinguished Education Fellow, Stanford HAI
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