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In this chapter, we summarize the techniques, theories, models, and solutions reviewed in previous chapters. We also discuss a few remaining challenges and exciting directions for future research in the field of social intelligence. We expect interest in social intelligence from different research communities (e.g., AI, machine learning, NLP, computer vision, social computing, human-computer interaction, estimation theory and statistical learning, fairness, and privacy) will keep on increasing and more fundamental and interesting research work will be carried out in the future.

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Conclusions and Remaining Challenges

  • 章节

  • 发表日期：

    2025年

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  • Dong Wang,
  • Lanyu Shang,
  • Yang Zhang

摘要

In this chapter, we summarize the techniques, theories, models, and solutions reviewed in previous chapters. We also discuss a few remaining challenges and exciting directions for future research in the field of social intelligence. We expect interest in social intelligence from different research communities (e.g., AI, machine learning, NLP, computer vision, social computing, human-computer interaction, estimation theory and statistical learning, fairness, and privacy) will keep on increasing and more fundamental and interesting research work will be carried out in the future.