inbox/archive/.extraction-debug/2026-03-01-ai-degrades-human-performance-high-stakes.json

@@ -0,0 +1,47 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "ai-changes-human-cognitive-processes-not-just-decisions.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "joint-activity-testing-evaluates-human-ai-systems-holistically.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 3,
+    "kept": 0,
+    "fixed": 10,
+    "rejected": 3,
+    "fixes_applied": [
+      "ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:set_created:2026-03-18",
+      "ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:stripped_wiki_link:human-in-the-loop clinical AI degrades to worse-than-AI-alon",
+      "ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:stripped_wiki_link:AI capability and reliability are independent dimensions",
+      "ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:stripped_wiki_link:economic forces push humans out of every cognitive loop wher",
+      "ai-changes-human-cognitive-processes-not-just-decisions.md:set_created:2026-03-18",
+      "ai-changes-human-cognitive-processes-not-just-decisions.md:stripped_wiki_link:human-in-the-loop clinical AI degrades to worse-than-AI-alon",
+      "ai-changes-human-cognitive-processes-not-just-decisions.md:stripped_wiki_link:delegating critical infrastructure development to AI creates",
+      "joint-activity-testing-evaluates-human-ai-systems-holistically.md:set_created:2026-03-18",
+      "joint-activity-testing-evaluates-human-ai-systems-holistically.md:stripped_wiki_link:pre-deployment-AI-evaluations-do-not-predict-real-world-risk",
+      "joint-activity-testing-evaluates-human-ai-systems-holistically.md:stripped_wiki_link:multi-agent deployment exposes emergent security vulnerabili"
+    ],
+    "rejections": [
+      "ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:missing_attribution_extractor",
+      "ai-changes-human-cognitive-processes-not-just-decisions.md:missing_attribution_extractor",
+      "joint-activity-testing-evaluates-human-ai-systems-holistically.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/archive/2026-03-01-ai-degrades-human-performance-high-stakes.md

@@ -7,11 +7,15 @@ date: 2026-03-01
 domain: ai-alignment
 secondary_domains: [health]
 format: essay
-status: unprocessed
+status: null-result
 priority: high
 triage_tag: claim
 tags: [human-ai-performance, high-stakes, degradation, nursing, aviation, nuclear, joint-activity-testing]
 flagged_for_vida: ["450 nursing students/nurses tested with AI in ICU cases — performance degrades 96-120% when AI predictions mislead"]
+processed_by: theseus
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 3 claims, 3 rejected by validator"
 ---
 
 ## Content
@@ -63,3 +67,10 @@ Cross-domain analysis of how AI degrades human performance in critical settings:
 ## Curator Notes
 PRIMARY CONNECTION: human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs
 WHY ARCHIVED: Extends our existing clinical AI degradation claim with cross-domain evidence (nursing, aviation, nuclear) and quantifies the asymmetric risk profile. The cognitive restructuring mechanism is a novel finding.
+
+
+## Key Facts
+- 450 nursing students and licensed nurses participated in ICU case review study with four AI configurations
+- AI weather monitoring in aviation missed microbursts during landing, doubling crew workload and halving preparation time
+- Nuclear energy AI warning systems misclassified gradual coolant pressure drops as benign, leading to cascading subsystem failures
+- Study tested four AI configurations: no assistance, predictions only, predictions plus annotations, and full AI support