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In this chapter, we introduce the new paradigm of Social Intelligence (SI) where the goal is to explore the collective intelligence of both humans and machines by understanding their complementary strengths and interactions in the social space. We highlight the uniqueness of the social intelligence paradigm in the context of related literature. We further discuss the motivation of SI from both the challenge and application perspectives. Examples of some key challenges in SI include data heterogeneity, model generality, explainability, fairness and bias, privacy, and hybrid intelligence integration. Finally, we conclude the chapter by summarizing the contributions of this book and presenting the structure for the rest of the book.

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Introduction

  • 章节

  • 发表日期：

    2025年

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  • Dong Wang,
  • Lanyu Shang,
  • Yang Zhang

摘要

In this chapter, we introduce the new paradigm of Social Intelligence (SI) where the goal is to explore the collective intelligence of both humans and machines by understanding their complementary strengths and interactions in the social space. We highlight the uniqueness of the social intelligence paradigm in the context of related literature. We further discuss the motivation of SI from both the challenge and application perspectives. Examples of some key challenges in SI include data heterogeneity, model generality, explainability, fairness and bias, privacy, and hybrid intelligence integration. Finally, we conclude the chapter by summarizing the contributions of this book and presenting the structure for the rest of the book.