Social Intelligence: The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space
暫譯: 社會智慧：整合人類智慧與人工智慧於社會空間的新前沿

隨著人工智慧（AI）的興起以及線上協作機會的出現（例如社交媒體、群眾外包），新興研究開始探討AI與人類智慧的整合，特別是在協作社會背景下。這在社會智慧（Social Intelligence, SI）領域中創造了前所未有的挑戰與機會，其目標是通過理解人類與機器在社會空間中的互補優勢和互動，來探索人類與機器的集體智慧。

在本書中，提出了一系列以人為中心的AI新技術，以應對社會智慧應用中的挑戰，包括多模態方法、穩健且可泛化的框架，以及社會賦能的可解釋AI設計。接著，本書介紹了幾個人類與AI協作學習框架，這些框架共同整合了群眾智慧和AI的優勢，以解決獨立解決方案固有的限制。本書還強調了社會智慧領域中迫切的社會問題，例如公平性、偏見和隱私。通過來自不同社會智慧應用的實際案例研究，展示了所提出解決方案在預測準確性、模型可泛化性和可解釋性、算法公平性以及系統穩健性等各個方面實現顯著性能提升的有效性。

Dong Wang: Dong Wang is an associate professor in School of Information Sciences and Siebel School of Computing and Data Science (affiliated) at the University of Illinois at Urbana Champaign (UIUC). His research interests lie in social sensing, computing, and intelligence, human-centered AI, and big data analytics. Dong Wang has published over 200 technical papers in peer reviewed conferences and journals. His work has been applied in a wide range of real-world applications such as misinformation detection, social network analysis, crowd-based disaster response, intelligent transportation, urban planning, and environment monitoring. His research on social sensing, computing, and intelligence resulted in software tools that found applications in academia, industry, and government research labs. He also authored three books: "Social Intelligence" to be published by Springer in 2025, "Social Edge Computing" published by Springer in 2023, and "Social Sensing" published by Elsevier in 2015. He is the recipient of NSF CAREER Award, Google Faculty Research Award, ARO Young Investigator Program (YIP), the Best Paper Award of 2022 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM), the Best Paper Award of 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) and the Best Paper Honorable Mention of 8th IEEE SmartComp. He serves as an associate editor of IEEE Transactions on Big Data, Frontiers in Big Data, and Social Network and Analysis Journal (SNAM). He is also an IEEE Senior Member and ACM and AAAI Member.

Lanyu Shang: Lanyu Shang is an assistant professor in Computer Science at the Loyola Marymount University. She earned her Ph.D. in information sciences from the University of Illinois Urbana-Champaign. Prior to this, she received an M.S. in Data Science from New York University and a B.S. in Applied Mathematics from the University of California, Los Angeles. Her research interest lies in human-centric AI, human-AI collaboration, social media analysis, AI for social good, and applied AI. Her work has been published in top venues in data mining and machine learning/AI, such as The WebConf, ICWSM, AAAI, IJCAI, and IEEE Big Data. She is also the recipient of the Best Paper Award at ACM/IEEE ASONAM 2022, the Best Paper Honorable Mention at IEEE SmartComp 2022, the Outstanding Graduate Student Teaching Award from the University of Notre Dame, and the N2Women Young Researcher Fellowship.

Yang Zhang: Yang Zhang is a Teaching Assistant Professor at the School of Information Sciences at the University of Illinois Urbana-Champaign (UIUC) and a senior researcher at UIUC's Social Sensing and Intelligence Lab. He is also a faculty affiliate of Illinois Informatics at UIUC. Previously, he was a Postdoctoral Research Associate at UIUC and a W. J. Cody Research Associate at Argonne National Laboratory. Yang earned his Ph.D. in Computer Science & Engineering from the University of Notre Dame, an M.S. in Data Science from Indiana University Bloomington, and a B.S. in Software Engineering from Wuhan University. His research focuses on human-centered AI, human-AI collaboration, deep learning, and generative AI. He has authored over 80 peer-reviewed conference and journal papers published in top venues such as ACM CSCW, ACM Web Conference, AAAI, IJCAI, and IEEE BigData. His work has been recognized with prestigious honors, including the Outstanding Graduate Research Award from the University of Notre Dame and the W. J. Cody Research Associateship at Argonne National Laboratory.

**董旺**：董旺是伊利諾伊大學香檳分校（UIUC）資訊科學學院及西貝爾計算與數據科學學院的副教授。他的研究興趣包括社會感知、計算與智能、人本中心的人工智慧以及大數據分析。董旺在同行評審的會議和期刊上發表了超過200篇技術論文。他的研究成果已應用於多種現實世界的應用中，例如錯誤信息檢測、社交網絡分析、基於人群的災難應對、智能交通、城市規劃和環境監測。他在社會感知、計算與智能方面的研究產生了可在學術界、產業和政府研究實驗室中應用的軟體工具。他還著有三本書：《社會智能》（將於2025年由Springer出版）、《社會邊緣計算》（2023年由Springer出版）和《社會感知》（2015年由Elsevier出版）。他是NSF CAREER獎、Google Faculty Research Award、ARO Young Investigator Program (YIP)、2022年ACM/IEEE國際社會網絡分析與挖掘會議（ASONAM）最佳論文獎、16屆IEEE即時與嵌入式技術與應用研討會（RTAS）最佳論文獎及第8屆IEEE SmartComp最佳論文榮譽提名的獲得者。他擔任IEEE大數據期刊、Frontiers in Big Data及社會網絡與分析期刊（SNAM）的副編輯。他也是IEEE資深會員及ACM和AAAI會員。

**尚藍宇**：尚藍宇是洛約拉瑪利蒙特大學計算機科學的助理教授。她在伊利諾伊大學香檳分校獲得資訊科學博士學位。在此之前，她在紐約大學獲得數據科學碩士學位，並在加州大學洛杉磯分校獲得應用數學學士學位。她的研究興趣包括人本中心的人工智慧、人機協作、社交媒體分析、社會公益的人工智慧及應用人工智慧。她的研究成果已發表於數據挖掘和機器學習/人工智慧的頂尖會議，如The WebConf、ICWSM、AAAI、IJCAI和IEEE Big Data。她還獲得了2022年ACM/IEEE ASONAM最佳論文獎、2022年IEEE SmartComp最佳論文榮譽提名、聖母大學的傑出研究生教學獎及N2Women年輕研究者獎學金。

**楊章**：楊章是伊利諾伊大學香檳分校（UIUC）資訊科學學院的教學助理教授及UIUC社會感知與智能實驗室的高級研究員。他也是UIUC伊利諾伊資訊學的教職員附屬成員。之前，他曾擔任UIUC的博士後研究助理及阿貢國家實驗室的W. J. Cody研究助理。楊章在聖母大學獲得計算機科學與工程博士學位，在印第安納大學布盧明頓分校獲得數據科學碩士學位，並在武漢大學獲得軟體工程學士學位。他的研究專注於人本中心的人工智慧、人機協作、深度學習及生成式人工智慧。他已在ACM CSCW、ACM Web Conference、AAAI、IJCAI和IEEE BigData等頂尖會議上發表了超過80篇同行評審的會議和期刊論文。他的研究成果獲得了多項榮譽，包括聖母大學的傑出研究生研究獎及阿貢國家實驗室的W. J. Cody研究助理獎。