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Catalyzing next-generation Artificial Intelligence through NeuroAI
Anthony Zador1, Sean Escola2, Blake Richards3,4,5,6,7
1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA. zador@cshl.edu.
Nature Communications
|March 23, 2023
Summary
Invest in NeuroAI research to advance artificial intelligence (AI). The proposed embodied Turing test focuses on animal-like sensorimotor skills, offering a new roadmap for AI development.
Area of Science:
- Neuroscience and Artificial Intelligence (AI)
Background:
- Neuroscience has historically driven advancements in AI.
- Current AI research often focuses on human-specific capabilities like language and game playing.
Purpose of the Study:
- To propose NeuroAI as a critical area for accelerating AI progress.
- To introduce the embodied Turing test as a novel evaluation method for AI.
Main Methods:
- Focusing on fundamental research in NeuroAI.
- Developing AI models capable of passing the embodied Turing test.
- Evaluating AI based on sensorimotor interaction with the environment.
Main Results:
- The embodied Turing test shifts AI evaluation towards evolutionarily conserved, shared animal capabilities.
- This approach contrasts with AI's focus on uniquely human skills.
- Success in the embodied Turing test indicates a potential roadmap for next-generation AI.
Conclusions:
- Investing in NeuroAI research is essential for future AI breakthroughs.
- The embodied Turing test provides a framework for developing more general and capable AI.
- This research direction leverages evolutionary principles to guide AI development.
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