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.

研究人员提出要加快人工智能领域的发展，必须在神经人工智能的基础研究上投资，其中核心是实体图灵测试，要求人工智能的动物模型实现与其动物同类水平的感知运动交互，这将提供下一代人工智能的发展路线图。