What can the brain teach us about building artificial intelligence?

TL;DR

This paper discusses how insights from the brain can inform the development of more human-like artificial intelligence, complementing recent critiques and suggestions in the field.

Contribution

It provides additional perspectives on integrating brain-inspired principles into AI research, complementing Lake et al's critique.

Findings

Highlights the importance of human brain insights for AI development

Suggests new research directions inspired by neuroscience

Emphasizes the need for interdisciplinary approaches

Abstract

This paper is the preprint of an invited commentary on Lake et al's Behavioral and Brain Sciences article titled "Building machines that learn and think like people". Lake et al's paper offers a timely critique on the recent accomplishments in artificial intelligence from the vantage point of human intelligence, and provides insightful suggestions about research directions for building more human-like intelligence. Since we agree with most of the points raised in that paper, we will offer a few points that are complementary.