AINCOct 15, 2022

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Stanford
arXiv:2210.08340v3282 citationsh-index: 145
Originality Incremental advance
AI Analysis

This foundational proposal aims to shift AI research focus from human-specific capabilities to evolutionary-shared animal skills, potentially catalyzing broad progress in AI.

The paper tackles the challenge of advancing artificial intelligence by advocating for fundamental research in NeuroAI, proposing the embodied Turing test as a core component to guide AI development toward animal-like sensorimotor skills.

Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which challenges AI animal models to interact with the sensorimotor world at skill levels akin to their living counterparts. The embodied Turing test shifts the focus from those capabilities like game playing and language that are especially well-developed or uniquely human to those capabilities, inherited from over 500 million years of evolution, that are shared with all animals. Building models that can pass the embodied Turing test will provide a roadmap for the next generation of AI.

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