Language
English
Publication Date
3-22-2023
Journal
Nature Communications
DOI
10.1038/s41467-023-37180-x
PMID
36949048
PMCID
PMC10033876
PubMedCentral® Posted Date
3-22-2023
PubMedCentral® Full Text Version
Post-print
Abstract
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.
Keywords
Animals, Humans, Artificial Intelligence, Neurosciences, Neuroscience, Computer science
Published Open-Access
yes
Recommended Citation
Zador, Anthony; Escola, Sean; Richards, Blake; et al., "Catalyzing next-generation Artificial Intelligence through NeuroAI" (2023). Faculty and Staff Publications. 5983.
https://digitalcommons.library.tmc.edu/baylor_docs/5983