In plain words: A proposed test would judge AI "animals" by how well they sense and move through the real world, matching living creatures. It shifts the goal from games and language to skills every animal shares, giving AI a roadmap beyond human-only tasks.
Abstract · Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
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.
Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, Dmitri Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, et al.
arXiv:2210.08340 · cs.AI, q-bio.NC · submitted Oct 15, 2022 · updated Feb 22, 2023
abstract · pdf · White paper, 10 pages + 8 pages of references, 1 figures