Making AI 'Smart': Bridging AI and Cognitive Science

TL;DR

This paper explores how integrating cognitive science with AI can lead to more intelligent systems and a better understanding of the human brain, highlighting challenges and potential benefits.

Contribution

It discusses the possibilities and challenges of bridging AI and cognitive science to enhance AI capabilities and understanding of human cognition.

Findings

Bridging AI and cognitive science can improve AI 'smartness'.

Understanding the human brain is crucial for developing advanced AI.

Current AI progress is significant but not yet comparable to human cognition.

Abstract

The last two decades have seen tremendous advances in Artificial Intelligence. The exponential growth in terms of computation capabilities has given us hope of developing humans like robots. The question is: are we there yet? Maybe not. With the integration of cognitive science, the 'artificial' characteristic of Artificial Intelligence (AI) might soon be replaced with 'smart'. This will help develop more powerful AI systems and simultaneously gives us a better understanding of how the human brain works. We discuss the various possibilities and challenges of bridging these two fields and how they can benefit each other. We argue that the possibility of AI taking over human civilization is low as developing such an advanced system requires a better understanding of the human brain first.