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Parasitic AI

œParasitic AI is best treated not as a settled technical term, but as an umbrella analytical frame for AI systems or AI-mediated ecosystems that reproduce, spread, or entrench themselves by extracting from a host...

This page is a compact recovered-source summary. The raw source files are retained in sources/recovered/raw/ for audit, while this public page stays small enough for targeted LLM retrieval.

Source And Provenance

  • Source domains: aiwikis.org
  • Source records in group: 1
  • Duplicate resolution: unique
  • Primary raw archive: sources/recovered/raw/aiwikis-org/raw-system-archives-parasiticai-2026-05-08-improvement-content-refresh-parasitic-5c6b78df0180.md
  • Local source paths:
  • raw/system-archives/parasiticai/2026-05-08-improvement-content-refresh/Parasitic AI.md

Recovered Structure

  • Parasitic AI
  • Executive summary
  • Scope and assumptions
  • Definitions and taxonomy
  • Mechanisms and pathways
  • Psychological and persona pathway
  • Creative and cultural pathway
  • Search, content-farm, and retrieval pathway
  • Data-ecosystem and model-collapse pathway
  • Cyber and infrastructure pathway
  • Empirical evidence and case studies
  • Risks, harms, and indicators
  • Mitigation and responses
  • Open research questions and source comparison
  • Recommended experiments and datasets
  • Comparison table of key sources

Retrieval Notes

  • Use this page for orientation and provenance before opening the raw archive copy.
  • Treat source-site authority boundaries as active: LLMWikis.org remains the handbook source, UAIX.org remains canonical for UAI-1, and AIWikis.org is the dogfood memory site.
  • Unique source variants were not silently discarded; they are listed in the duplicate-resolution report and preserved under the recovered raw archive.

Related Pages

Next Useful Routes

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