Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science
Most AI-for-science systems focus on scaling a single reasoning process by using better models, larger context windows, long-horizon agentic execution, or digital co-scientists working with one principal user. However, challenging scientific problems are rarely solved by one reasoner alone. They are solved by teams whose members carry different priors, experimental background, tacit knowledge, and domain-trained intuitions. The open problem is therefore not only how to scale models, but how to develop "networked intelligence", scaling the connections between humans and AI systems so that a result or hypothesis produced in one context reaches another person, agent, instrument or robot that...
| Authors | Sutanay Choudhury, Jeffrey J. Czajka, Lummy M. O. Monteiro et al. |
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| Primary category | cs.AI |
| Published | 14 July 2026 |
| Last updated at source | 29 July 2026 |
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