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Hybrid Cognition in the Era of Human-AI Collaboration
- Rocca, Roberta;
- Street, Winnie;
- Keeling, Geoff;
- Kim, Junsol;
- Kosmyna, Nataliya;
- Moore, Jared;
- Smart, Paul Richard;
- Wykowska, Agnieszka
© 2026 by the author(s). Learn more.
Abstract
Unlike previous digital technologies, state-of-the-art large language models (LLMs) exhibit capabilities that span the full cognitive hierarchy, from low-level linguistic processing, to high-level functions such as social reasoning and metacognitive monitoring (Coda-Forno et al., 2024; Didolkar et al., 2024; Street et al., 2024). For these reasons, humans are increasingly collaborating with LLMs for complex cognitive tasks via conversational chat interfaces, and LLMs are increasingly studied as cognitive systems in their own right by cognitive scientists, psychologists and philosophers of mind (Hagendorff et al., 2023). Yet, the dynamics of human-LLM collaborations remain understudied.