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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.
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 psych-neuro-AI affinity group is working towards two overarching and related goals. First, we aim to draw on our collective expertise to brainstorm new directions of interdisciplinary research spanning psychology, neuroscience, and artificial intelligence that will enable us to understand more about the brain and mind and to build next-generation AI technologies inspired by the robustness and versatility of biological intelligence. Second, we will explore new ways that we can build a meaningful and interactive community of researchers, spanning multiple schools of thought, to come together to share knowledge, and generate new and exciting interdisciplinary research melding psychology, neuroscience and artificial intelligence.

