LEADER 05220nam 22006015 450 001 9911015637003321 005 20250712073456.0 010 $a3-031-90080-4 024 7 $a10.1007/978-3-031-90080-8 035 $a(MiAaPQ)EBC32201093 035 $a(Au-PeEL)EBL32201093 035 $a(CKB)39614962600041 035 $a(OCoLC)1527723126 035 $a(DE-He213)978-3-031-90080-8 035 $a(EXLCZ)9939614962600041 100 $a20250707d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSocial Intelligence $eThe New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space /$fby Dong Wang, Lanyu Shang, Yang Zhang 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (430 pages) 311 08$a3-031-90079-0 327 $aChapter 1: Introduction -- 1.1 Overview -- 1.2 Motivation and Challenges -- 1.3 Contributions -- Chapter 2: Social Intelligence Applications and Backgrounds -- 2.1 Social Intelligence: the emergence of human intelligence and AI -- 2.2 Enabling Technologies for Social Intelligence -- 2.3 Interdisciplinary Nature of Social Intelligence -- 2.4 Emerging Social Intelligence Applications -- Chapter 3: Data Heterogeneity -- 3.1 The Data Heterogeneity Problem in Social Intelligence -- 3.2 A Multimodal Approach: DuoGen and ContrastFaux -- 3.4 Real-world Case Studies -- 3.5 Discussion -- Chapter 4: Data Sparsity and Model Generality -- 4.1 The Data Sparsity and Model Generality Problem in Social Intelligence -- 4.2 Robust and General Social Intelligence: CrowdAdapt and CollabGeneral -- 4.3 Real-world Case Studies -- 4.4 Discussion -- Chapter 5: Explainable AI (XAI) in Social Intelligence -- 4.1 A Collaborative Explanation for AI -- 4.2 Social XAI: CrowdGraph and CEA-COVID -- 4.3 Real-world Case Studies -- 4.4 Discussion -- Chapter 6: Fusing Crowd Wisdom and AI -- 6.1 Integrating Crowd-based Human Intelligence and AI -- 6.2 A Crowd-AI Co-Design: CrowdNAS and CrowdHPO -- 6.4 Real-world Case Studies -- 6.5 Discussion -- Chapter 7: Fairness and Bias Issue -- 7.1 The Fairness and Bias Issue in Social Intelligence -- 7.2 Fair Social AI Solution: FairCrowd and DebiasEdu -- 7.3 Real-world Case Studies -- 7.4 Discussion -- Chapter 8: Privacy Issue -- 8.1 Understanding Privacy in Social Intelligence -- 8.2 Privacy-aware Crowd-AI Approach: CoviDKG and FaceCrowd -- 8.3 Real-world Case Studies -- 8.4 Discussion -- Chapter 9: Further Readings -- 9.1 Human-centered AI -- 9.2 AI for Social Good -- 9.3 Fairness and Privacy in Social Intelligence -- 9.4 Ethics and Policies in Social Intelligence -- Chapter 10: Conclusions and Remaining Challenges. 330 $aGiven the rise of AI and the advent of online collaboration opportunities (e.g., social media, crowdsourcing), emerging research has started to investigate the integration of AI and human intelligence, especially in a collaborative social context. This creates unprecedented challenges and opportunities in the field 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. In this book, a set of novel human-centered AI techniques are presented to address the challenges of social intelligence applications, including multimodal approaches, robust and generalizable frameworks, and socially empowered explainable AI designs. The book then presents several human-AI collaborative learning frameworks that jointly integrate the strengths of crowd wisdom and AI to address the limitations inherent in standalone solutions. The book also emphasizes pressing societal issues in the realm of social intelligence, such as fairness, bias, and privacy. Real-world case studies from different applications in social intelligence are presented to demonstrate the effectiveness of the proposed solutions in achieving substantial performance gains in various aspects, such as prediction accuracy, model generalizability and explainability, algorithmic fairness, and system robustness. 606 $aArtificial intelligence 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aTechnology$xMoral and ethical aspects 606 $aArtificial Intelligence 606 $aUser Interfaces and Human Computer Interaction 606 $aEthics of Technology 615 0$aArtificial intelligence. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aTechnology$xMoral and ethical aspects. 615 14$aArtificial Intelligence. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aEthics of Technology. 676 $a006.3 700 $aWang$b Dong$0596182 701 $aShang$b Lanyu$01833159 701 $aZhang$b Yang$01063882 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015637003321 996 $aSocial Intelligence$94408070 997 $aUNINA