On the link between conscious function and general intelligence in humans and machines by Juliani

【Title】On the link between conscious function and general intelligence in humans and machines

【Speaker】Arthur Juliani, Microsoft Research

Slides
https://drive.google.com/file/d/1s9WBiR1xK1ouW1tmhuP1lT3d_eBL2BDp/view?usp=sharing

【Abstract】
In popular media, there is often a connection drawn between the advent of awareness in artificial agents and those same agents simultaneously achieving human or superhuman level intelligence. In this talk, I will examine the validity and potential application of this seemingly intuitive link between consciousness and intelligence. I will do so by examining the cognitive abilities associated with three contemporary theories of conscious function: Global Workspace Theory (GWT), Information Generation Theory (IGT), and Attention Schema Theory (AST), and demonstrating that all three theories specifically relate conscious function to some aspect of domain-general intelligence in humans. With this insight, we will turn to the field of Artificial Intelligence (AI) and find that, while still far from demonstrating general intelligence, many state-of-the-art deep learning methods have begun to incorporate key aspects of each of the three functional theories. Given this apparent trend, I will use the motivating example of mental time travel in humans to propose ways in which insights from each of the three theories may be combined into a unified model. I believe that doing so can enable the development of artificial agents which are not only more generally intelligent but are also consistent with multiple current theories of conscious function.

Reference:
Arthur Juliani, Kai Arulkumaran, Shuntaro Sasai, Ryota Kanai. (2022). On the link between conscious function and general intelligence in humans and machines. Transactions on Machine Learning Research. https://arxiv.org/abs/2204.05133

Inquiries to: ajuliani@microsoft.com

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