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extract: 2026-01-01-ai-deskilling-evidence-synthesis

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inbox/archive/.extraction-debug/2026-01-01-ai-deskilling-evidence-synthesis.json Normal file
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{
"rejected_claims": [
{
"filename": "ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md",
"issues": [
"missing_attribution_extractor"
]
},
{
"filename": "optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md",
"issues": [
"missing_attribution_extractor"
]
}
],
"validation_stats": {
"total": 2,
"kept": 0,
"fixed": 7,
"rejected": 2,
"fixes_applied": [
"ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md:set_created:2026-03-18",
"ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md:stripped_wiki_link:delegating-critical-infrastructure-development-to-ai-creates",
"ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md:stripped_wiki_link:economic-forces-push-humans-out-of-every-cognitive-loop-wher",
"optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:set_created:2026-03-18",
"optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:stripped_wiki_link:ai-deskilling-creates-self-reinforcing-degradation-loop-with",
"optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:stripped_wiki_link:economic-forces-push-humans-out-of-every-cognitive-loop-wher",
"optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:stripped_wiki_link:delegating-critical-infrastructure-development-to-ai-creates"
],
"rejections": [
"ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md:missing_attribution_extractor",
"optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:missing_attribution_extractor"
]
},
"model": "anthropic/claude-sonnet-4.5",
"date": "2026-03-18"
}

13
inbox/archive/2026-01-01-ai-deskilling-evidence-synthesis.md
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@ -7,11 +7,15 @@ date: 2026-01-01
domain: ai-alignment domain: ai-alignment
secondary_domains: [health, collective-intelligence] secondary_domains: [health, collective-intelligence]
format: paper format: paper
status: unprocessed status: null-result
priority: high priority: high
triage_tag: claim triage_tag: claim
tags: [deskilling, skill-atrophy, automation-complacency, self-reinforcing-loop, cognitive-offloading, expertise-erosion] tags: [deskilling, skill-atrophy, automation-complacency, self-reinforcing-loop, cognitive-offloading, expertise-erosion]
flagged_for_vida: ["Endoscopists deskilled by AI — detection rate dropped from 28.4% to 22.4% when AI removed"] flagged_for_vida: ["Endoscopists deskilled by AI — detection rate dropped from 28.4% to 22.4% when AI removed"]
processed_by: theseus
processed_date: 2026-03-18
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
--- ---
## Content ## Content
@ -65,3 +69,10 @@ Reduced human capability → increased AI dependence → further reduced capabil
## Curator Notes ## Curator Notes
PRIMARY CONNECTION: delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on PRIMARY CONNECTION: delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on
WHY ARCHIVED: Provides the MECHANISM for how civilizational fragility develops — not just through infrastructure delegation but through measurable skill atrophy that makes humans unable to resume control. The feedback loop structure means the process is self-accelerating. WHY ARCHIVED: Provides the MECHANISM for how civilizational fragility develops — not just through infrastructure delegation but through measurable skill atrophy that makes humans unable to resume control. The feedback loop structure means the process is self-accelerating.
## Key Facts
- Endoscopists using AI for colonoscopy assistance showed detection rate drop from 28.4% to 22.4% when AI access was removed (Lancet Gastroenterology & Hepatology, 2025)
- Springer AI & Society 2025 identified four deskilling dimensions: individual skill atrophy, structural erosion of expertise development systems, systemic organizational vulnerability, and fundamental redefinition of cognitive requirements
- Illinois Law School faculty found law students using chatbots more prone to critical errors with potential widespread deskilling among younger attorneys
- Design research (arxiv 2503.03924) identified three 'ironies of AI-assisted design': deskilling, cognitive offloading, and misplaced responsibilities