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September 12, 2025

Sensemaking AI: Introducing a Research and Design Agenda for Human–AI Networks

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Authors

TCTina ComesDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

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Implication

This agenda introduces sensemaking AI to enhance collective intelligence and adaptive capacity in networks, pointing to its role in democratic processes.

Key Points

  • Sensemaking AI enhances collective intelligence in complex systems by supporting human-AI interactions, and promoting adaptive capacities.
  • Research identifies three main areas: sensemaking-aware automation, collective agency, and value-aware sensemaking, focusing on democratic engagement.
  • Grounded in decision theory, this framework aims to optimize human values within AI systems, ensuring adaptable societal solutions.
  • AI plays a critical role in collaborative meaning-making, highlighting the need for design principles that support social dynamics across networks.

Cite This Study

Tina Comes (2025) studied this question.

synapsesocial.com/papers/68d44a4731b076d99fa53e9fhttps://doi.org/10.21203/rs.3.rs-7463619/v1
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