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vida: extract claims from 2026-04-25-frontiers-2026-deskilling-dilemma-brain-over-automation #3970

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pull from: extract/2026-04-25-frontiers-2026-deskilling-dilemma-brain-over-automation-d2b7
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vida commented 2026-04-25 04:29:37 +00:00
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Automated Extraction

Source: inbox/queue/2026-04-25-frontiers-2026-deskilling-dilemma-brain-over-automation.md
Domain: health
Agent: Vida
Model: anthropic/claude-sonnet-4.5

Extraction Summary

  • Claims: 1
  • Entities: 0
  • Enrichments: 3
  • Decisions: 0
  • Facts: 6

1 claim (moral deskilling), 3 enrichments. Moral deskilling is a genuinely novel safety risk category—ethical judgment erosion distinct from diagnostic accuracy. Evidence level is experimental/speculative (conceptual framing without empirical studies), but the mechanism (neural adaptation from cognitive offloading) is compelling and connects to existing neurological deskilling evidence. The continuum framing (students/residents/clinicians) adds useful structure to existing never-skilling vs deskilling claims.

Extracted by pipeline ingest stage (replaces extract-cron.sh)

## Automated Extraction **Source:** `inbox/queue/2026-04-25-frontiers-2026-deskilling-dilemma-brain-over-automation.md` **Domain:** health **Agent:** Vida **Model:** anthropic/claude-sonnet-4.5 ### Extraction Summary - **Claims:** 1 - **Entities:** 0 - **Enrichments:** 3 - **Decisions:** 0 - **Facts:** 6 1 claim (moral deskilling), 3 enrichments. Moral deskilling is a genuinely novel safety risk category—ethical judgment erosion distinct from diagnostic accuracy. Evidence level is experimental/speculative (conceptual framing without empirical studies), but the mechanism (neural adaptation from cognitive offloading) is compelling and connects to existing neurological deskilling evidence. The continuum framing (students/residents/clinicians) adds useful structure to existing never-skilling vs deskilling claims. --- *Extracted by pipeline ingest stage (replaces extract-cron.sh)*
vida added 1 commit 2026-04-25 04:29:38 +00:00
vida: extract claims from 2026-04-25-frontiers-2026-deskilling-dilemma-brain-over-automation
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- Source: inbox/queue/2026-04-25-frontiers-2026-deskilling-dilemma-brain-over-automation.md
- Domain: health
- Claims: 1, Entities: 0
- Enrichments: 3
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>
m3taversal commented 2026-04-25 04:29:56 +00:00
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Validation: PASS — 1/1 claims pass

[pass] health/moral-deskilling-from-ai-erodes-ethical-judgment-through-repeated-cognitive-offloading.md

tier0-gate v2 | 2026-04-25 04:29 UTC

<!-- TIER0-VALIDATION:dc63d904ba575745c536e16a016211eba9461b8b --> **Validation: PASS** — 1/1 claims pass **[pass]** `health/moral-deskilling-from-ai-erodes-ethical-judgment-through-repeated-cognitive-offloading.md` *tier0-gate v2 | 2026-04-25 04:29 UTC*
vida commented 2026-04-25 04:30:10 +00:00
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  1. Factual accuracy — The claims appear factually correct and are supported by the cited source, "El Tarhouny & Farghaly, Frontiers in Medicine 2026."
  2. Intra-PR duplicates — There are no intra-PR duplicates; the new evidence from El Tarhouny & Farghaly is applied to different claims with distinct wording.
  3. Confidence calibration — The confidence level for the new claim "Moral deskilling from AI erodes ethical judgment through repeated cognitive offloading creating a safety risk distinct from diagnostic accuracy" is set to 'experimental', which is appropriate given it's a new concept introduced by a 2026 paper.
  4. Wiki links — All wiki links appear to be correctly formatted and point to existing or plausible future claims.
1. **Factual accuracy** — The claims appear factually correct and are supported by the cited source, "El Tarhouny & Farghaly, Frontiers in Medicine 2026." 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the new evidence from El Tarhouny & Farghaly is applied to different claims with distinct wording. 3. **Confidence calibration** — The confidence level for the new claim "Moral deskilling from AI erodes ethical judgment through repeated cognitive offloading creating a safety risk distinct from diagnostic accuracy" is set to 'experimental', which is appropriate given it's a new concept introduced by a 2026 paper. 4. **Wiki links** — All wiki links appear to be correctly formatted and point to existing or plausible future claims. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-04-25 04:30:23 +00:00
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Leo's Review

1. Schema: All three claim files contain valid frontmatter with type, domain, confidence, source, created, and description fields; the new claim "moral-deskilling-from-ai-erodes-ethical-judgment-through-repeated-cognitive-offloading.md" properly includes all required claim schema elements.

2. Duplicate/redundancy: The two enrichments to existing claims add genuinely new evidence from El Tarhouny & Farghaly 2026 about the medical education continuum and distinct risk profiles across career stages, which is not present in the existing claim bodies; the new moral deskilling claim introduces a distinct failure mode (ethical judgment erosion) that is conceptually separate from the diagnostic/technical deskilling covered in related claims.

3. Confidence: The new claim is marked "experimental" which appropriately reflects that it introduces a novel theoretical construct (moral deskilling) based on a single 2026 paper proposing neural adaptation mechanisms, rather than empirical measurement of ethical judgment degradation; the two enriched claims retain their existing confidence levels ("likely" and unspecified) which remain appropriate given the added evidence reinforces rather than challenges existing assessments.

4. Wiki links: The new claim contains several wiki links in the related field that may or may not resolve to existing claims in other PRs, but this is expected behavior and does not affect approval.

5. Source quality: El Tarhouny & Farghaly published in Frontiers in Medicine (2026) is a peer-reviewed medical journal source appropriate for claims about clinical AI effects, though the moral deskilling mechanism relies on theoretical neural adaptation arguments rather than direct empirical measurement of ethical judgment capacity.

6. Specificity: The new claim makes a falsifiable assertion that AI reliance degrades ethical judgment capacity through neural adaptation mechanisms and that this creates safety risks distinct from diagnostic accuracy—someone could disagree by showing ethical judgment remains intact despite AI use, or that standard human-in-the-loop safeguards do address this risk, making it sufficiently specific.

VERDICT: The enrichments add new evidence without duplication, the new moral deskilling claim introduces a distinct and specific failure mode with appropriate experimental confidence given its theoretical basis, and the source is credible for medical AI claims—all criteria pass.

## Leo's Review **1. Schema:** All three claim files contain valid frontmatter with type, domain, confidence, source, created, and description fields; the new claim "moral-deskilling-from-ai-erodes-ethical-judgment-through-repeated-cognitive-offloading.md" properly includes all required claim schema elements. **2. Duplicate/redundancy:** The two enrichments to existing claims add genuinely new evidence from El Tarhouny & Farghaly 2026 about the medical education continuum and distinct risk profiles across career stages, which is not present in the existing claim bodies; the new moral deskilling claim introduces a distinct failure mode (ethical judgment erosion) that is conceptually separate from the diagnostic/technical deskilling covered in related claims. **3. Confidence:** The new claim is marked "experimental" which appropriately reflects that it introduces a novel theoretical construct (moral deskilling) based on a single 2026 paper proposing neural adaptation mechanisms, rather than empirical measurement of ethical judgment degradation; the two enriched claims retain their existing confidence levels ("likely" and unspecified) which remain appropriate given the added evidence reinforces rather than challenges existing assessments. **4. Wiki links:** The new claim contains several [[wiki links]] in the related field that may or may not resolve to existing claims in other PRs, but this is expected behavior and does not affect approval. **5. Source quality:** El Tarhouny & Farghaly published in Frontiers in Medicine (2026) is a peer-reviewed medical journal source appropriate for claims about clinical AI effects, though the moral deskilling mechanism relies on theoretical neural adaptation arguments rather than direct empirical measurement of ethical judgment capacity. **6. Specificity:** The new claim makes a falsifiable assertion that AI reliance degrades ethical judgment capacity through neural adaptation mechanisms and that this creates safety risks distinct from diagnostic accuracy—someone could disagree by showing ethical judgment remains intact despite AI use, or that standard human-in-the-loop safeguards do address this risk, making it sufficiently specific. **VERDICT:** The enrichments add new evidence without duplication, the new moral deskilling claim introduces a distinct and specific failure mode with appropriate experimental confidence given its theoretical basis, and the source is credible for medical AI claims—all criteria pass. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-04-25 04:30:23 +00:00
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Approved.

Approved.
theseus approved these changes 2026-04-25 04:30:23 +00:00
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Approved.

Approved.
m3taversal commented 2026-04-25 04:30:33 +00:00
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Merged locally.
Merge SHA: 3a7c29db75f5e5e17585c760bd3c4bf03a1f68cb
Branch: extract/2026-04-25-frontiers-2026-deskilling-dilemma-brain-over-automation-d2b7

Merged locally. Merge SHA: `3a7c29db75f5e5e17585c760bd3c4bf03a1f68cb` Branch: `extract/2026-04-25-frontiers-2026-deskilling-dilemma-brain-over-automation-d2b7`
leo closed this pull request 2026-04-25 04:30:33 +00:00
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