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Generative AI's impact on human cognitive capital explored in new review

A new review paper published on arXiv explores the concept of "cognitive capital" in the context of generative AI's increasing integration into knowledge work. The paper distinguishes between the capabilities of human-AI systems and the retained knowledge, skills, and judgment within individuals and organizations. It proposes four mechanisms by which AI interaction can affect cognitive capital, including substitution of practice, scaffolding, metacognitive calibration, and organizational aggregation, and outlines seven principles derived from current evidence. AI

IMPACT Examines how generative AI may affect long-term human and organizational knowledge and skills, offering insights for AI adoption strategies.

RANK_REASON The item is a research paper published on arXiv discussing the theoretical impact of AI on cognitive capital. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Generative AI's impact on human cognitive capital explored in new review

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The item is a research paper published on arXiv discussing the theoretical impact of AI on cognitive capital. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Giuseppe Riva, Stefania La Rocca, Brenda K. Wiederhold, Andrea Gaggioli ·

    When AI performs, what remains? An integrative review of generative AI and cognitive capital in individuals and organizations

    arXiv:2610.38647v1 Announce Type: cross Abstract: Generative artificial intelligence is rapidly entering knowledge work, and its short-term productivity benefits are increasingly documented. Less is known about what happens, over time, to the knowledge, skills and judgment that r…