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Review | Open Access

Artificial Social Intelligence: A Comparative and Holistic View

Lifeng Fan1, Manjie Xu1,2, Zhihao Cao1,3, Yixin Zhu4( ), Song-Chun Zhu1,3,4( )
National Key Laboratory of General Artificial Intelligence, Beijing Institute for General Artificial Intelligence (BIGAI), Beijing 100080, China
School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Department of Automation, Tsinghua University, Beijing 100084, China
Institute for Artificial Intelligence, Peking University, Beijing 100871, China
Show Author Information

Abstract

In addition to a physical comprehension of the world, humans possess a high social intelligence—the intelligence that senses social events, infers the goals and intents of others, and facilitates social interaction. Notably, humans are distinguished from their closest primate cousins by their social cognitive skills as opposed to their physical counterparts. We believe that artificial social intelligence (ASI) will play a crucial role in shaping the future of artificial intelligence (AI). This article begins with a review of ASI from a cognitive science standpoint, including social perception, theory of mind (ToM), and social interaction. Next, we examine the recently-emerged computational counterpart in the AI community. Finally, we provide an in-depth discussion on topics related to ASI.

Keywords

social intelligencetheory of mind (ToM)communicationhuman-machine teaming

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CAAI Artificial Intelligence Research
Volume 1 Issue 2,
December 2022
Pages 144-160
DOI: 10.26599/AIR.2022.9150010
Cite this article:
Fan L, Xu M, Cao Z, et al. Artificial Social Intelligence: A Comparative and Holistic View. CAAI Artificial Intelligence Research, 2022, 1(2): 144-160. https://doi.org/10.26599/AIR.2022.9150010

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Received: 21 October 2022
Revised: 03 January 2023
Accepted: 07 January 2023
Published: 10 March 2023
© The author(s) 2022

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