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The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI

  • Barbara Oakley*
  • , Michael Johnston
  • , Ken Zen Chen
  • , Eulho Jung
  • , Terrence Sejnowski
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In an era of generative AI and ubiquitous digital tools, human memory faces a paradox: the more we offload knowledge to external aids, the less we exercise and develop our own cognitive capacities. This chapter offers the first neuroscience-based explanation for the observed reversal of the Flynn Effect—the recent decline in IQ scores in developed countries—linking this downturn to shifts in educational practices and the rise of cognitive offloading via AI and digital tools. Drawing on insights from neuroscience, cognitive psychology, and learning theory, we explain how underuse of the brain’s declarative and procedural memory systems undermines reasoning, impedes learning, and diminishes productivity. We critique contemporary pedagogical models that downplay memorization and basic knowledge, showing how these trends erode long-term fluency and mental flexibility. Finally, we outline policy implications for education, workforce development, and the responsible integration of AI, advocating strategies that harness technology as a complement to—rather than a replacement for—robust human knowledge.

Original languageEnglish
Title of host publicationThe Artificial Intelligence Revolution
Subtitle of host publicationChallenges and Opportunities
PublisherSpringer Nature
Pages573-628
Number of pages56
ISBN (Electronic)9783032118141
ISBN (Print)9783032118134
DOIs
StatePublished - 1 Jan 2026

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