Information Shock

Information Shock

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When does AI support thinking, and when does it replace it?...
When does AI support thinking, and when does it replace it?...
Chan builds a typology of nine ways secondary students describe using AI to learn, and organizes them around a single boundary: the same interaction either extends thinking or substitutes for it, depending on how the learner positions the system. Working from Vygotsky, distributed cognition, and the extended mind rather than from LIS, she arrives at a claim adjacent to Information Shock: AI is not a tool delivering outputs but a form of cognitive mediation operating inside the act of thinking, and learning has relocated from the object to the moment-to-moment exchange. Where she parts company is the remedy. Having placed cognition inside the exchange, Chan turns to reflective prompts, metacognitive checklists, and better learner positioning, the literacy frame Information Shock argues cannot reach the second mode. Notably, no one in her model is accountable for what the learner leaves believing; the burden falls entirely on the learner's own regulation. A preprint, self-report only from a single cohort fresh off an AI literacy course, so suggestive rather than conclusive, but a rare case of the learning sciences naming the mediation shift in their own vocabulary.
·arxiv.org·
When does AI support thinking, and when does it replace it?...
The Age of Reading Is Over
The Age of Reading Is Over
Unlike the Library of Alexandria, our texts won't turn to dust—they are perfectly preserved on silicon chips. The modern dark age isn't defined by the destruction of knowledge, but by our total apathy and fading ability to engage with it. Using AI in exchanges will most like exacerbate this problem.
·theatlantic.com·
The Age of Reading Is Over
View of Theorising notions of searching, (re)sources and evaluation in the light of generative AI
View of Theorising notions of searching, (re)sources and evaluation in the light of generative AI
Olof Sundin's CoLIS 2025 paper reaches nearby ground from a different angle, arguing that AI is rendering sources progressively invisible and forcing LIS to rethink search, sources, and evaluation. A useful companion to the Information Shock argument, running on the source-visibility axis rather than the mediating-unit one.
·publicera.kb.se·
View of Theorising notions of searching, (re)sources and evaluation in the light of generative AI
SRI_Trust_in_human_AI_interactions_2026-06-09.pdf
SRI_Trust_in_human_AI_interactions_2026-06-09.pdf
A multidisciplinary white paper from the Schwartz Reisman Institute that surveys nine fields' accounts of trust in AI and lands on trust as the defining problem for responsible deployment, arriving at the same destination as the shock argument from the opposite direction: by integrating existing frameworks rather than by identifying what has ruptured beneath them.
·static1.squarespace.com·
SRI_Trust_in_human_AI_interactions_2026-06-09.pdf