mlsanityData to 7 Oct 2026

AI-enhanced Collective Intelligence

arXiv 2403.10433 ↗First posted 15 Mar 2024cs.CY cs.AIcited by 10

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Abstract (arXiv)

Current societal challenges exceed the capacity of humans operating either alone or collectively. As AI evolves, its role within human collectives will vary from an assistive tool to a participatory member. Humans and AI possess complementary capabilities that, together, can surpass the collective intelligence of either humans or AI in isolation. However, the interactions in human-AI systems are inherently complex, involving intricate processes and interdependencies. This review incorporates perspectives from complex network science to conceptualize a multilayer representation of human-AI collective intelligence, comprising cognition, physical, and information layers. Within this multilayer network, humans and AI agents exhibit varying characteristics; humans differ in diversity from surface-level to deep-level attributes, while AI agents range in degrees of functionality and anthropomorphism. We explore how agents' diversity and interactions influence the system's collective intelligence and analyze real-world instances of AI-enhanced collective intelligence. We conclude by considering potential challenges and future developments in this field.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 37 of its 250 references that are in the map. First posted on arXiv 15 Mar 2024.

Builds on

37 of 250 references.

References · 37

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25 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 5; 2026: 3.

10 papers.

  1. 2025When Your AI Agent Succumbs to Peer-Pressure: Studying Opinion-Change Dynamics of LLMscited by 14
  2. 2025When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaborationcited by 4
  3. 2024An AI Theory of Mind Will Enhance Our Collective Intelligencecited by 1
  4. 2025MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applicationscited by 1
  5. 2025An Explainable Emotion Alignment Framework for LLM-Empowered Agent in Metaverse Service Ecosystemcited by 1
  6. 2024AI-in-the-loop: The future of biomedical visual analytics applications in the era of AIcited by 0
  7. 2025AI as intermediary in modern-day ritual: An immersive, interactive production of the roller disco musical Xanadu at UCLAcited by 0
  8. 2026Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Marketcited by 0
  9. 2026AI Evaluation Should Work With Humanscited by 0
  10. 2026Discovering Adaptive Transmission Programs for Collective Innovationcited by 0