Changes for page POC Summary (POC1 & POC2)
Last modified by Robert Schaub on 2025/12/24 09:44
To version 6.1
edited by Robert Schaub
on 2025/12/24 09:44
on 2025/12/24 09:44
Change comment:
Renamed from xwiki:Test.FactHarbor.Specification.POC.Summary
Summary
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Page properties (1 modified, 0 added, 0 removed)
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... ... @@ -1,8 +1,6 @@ 1 -= FactHarbor - Complete Analysis Summary 2 -**Consolidated Document - No Timelines** 3 -**Date:** December 19, 2025 1 += POC Summary (POC1 & POC2) = 4 4 5 -== 1. POC Specification - DEFINITIVE3 +== 1. POC Specification == 6 6 7 7 === POC Goal 8 8 Prove that AI can extract claims and determine verdicts automatically without human intervention. ... ... @@ -73,6 +73,89 @@ 73 73 74 74 > "Build less, learn more, decide faster. Test the hardest part first." 75 75 74 + 75 + 76 +=== Context-Aware Analysis (Experimental POC1 Feature) === 77 + 78 +**Problem:** Article credibility ≠ simple average of claim verdicts 79 + 80 +**Example:** Article with accurate facts (coffee has antioxidants, antioxidants fight cancer) but false conclusion (therefore coffee cures cancer) would score as "mostly accurate" with simple averaging, but is actually MISLEADING. 81 + 82 +**Solution (POC1 Test):** Approach 1 - Single-Pass Holistic Analysis 83 +* Enhanced AI prompt to evaluate logical structure 84 +* AI identifies main argument and assesses if it follows from evidence 85 +* Article verdict may differ from claim average 86 +* Zero additional cost, no architecture changes 87 + 88 +**Testing:** 89 +* 30-article test set 90 +* Success: ≥70% accuracy detecting misleading articles 91 +* Marked as experimental 92 + 93 +**See:** [[Article Verdict Problem>>Test.FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches. 94 + 95 + 96 +== 2. POC2 Specification == 97 + 98 +=== POC2 Goal === 99 +Prove that AKEL produces high-quality outputs consistently at scale with complete quality validation. 100 + 101 +=== POC2 Enhancements (From POC1) === 102 + 103 +**1. COMPLETE QUALITY GATES (All 4)** 104 +* Gate 1: Claim Validation (from POC1) 105 +* Gate 2: Evidence Relevance ← NEW 106 +* Gate 3: Scenario Coherence ← NEW 107 +* Gate 4: Verdict Confidence (from POC1) 108 + 109 +**2. EVIDENCE DEDUPLICATION (FR54)** 110 +* Prevent counting same source multiple times 111 +* Handle syndicated content (AP, Reuters) 112 +* Content fingerprinting with fuzzy matching 113 +* Target: >95% duplicate detection accuracy 114 + 115 +**3. CONTEXT-AWARE ANALYSIS (Conditional)** 116 +* **If POC1 succeeds (≥70%):** Implement as standard feature 117 +* **If POC1 promising (50-70%):** Try weighted aggregation approach 118 +* **If POC1 fails (<50%):** Defer to post-POC2 119 +* Detects articles with accurate claims but misleading conclusions 120 + 121 +**4. QUALITY METRICS DASHBOARD (NFR13)** 122 +* Track hallucination rates 123 +* Monitor gate performance 124 +* Evidence quality metrics 125 +* Processing statistics 126 + 127 +=== What's Still NOT in POC2 === 128 + 129 +❌ User accounts, authentication 130 +❌ Public publishing interface 131 +❌ Social sharing features 132 +❌ Full production security (comes in Beta 0) 133 +❌ In-article claim highlighting (comes in Beta 0) 134 + 135 +=== Success Criteria === 136 + 137 +**Quality:** 138 +* Hallucination rate <5% (target: <3%) 139 +* Average quality rating ≥8.0/10 140 +* Gates identify >95% of low-quality outputs 141 + 142 +**Performance:** 143 +* All 4 quality gates operational 144 +* Evidence deduplication >95% accurate 145 +* Quality metrics tracked continuously 146 + 147 +**Context-Aware (if implemented):** 148 +* Maintains ≥70% accuracy detecting misleading articles 149 +* <15% false positive rate 150 + 151 +**Total Output Size:** Similar to POC1 (~220-350 words per analysis) 152 + 153 + 154 + 155 + 156 + 76 76 == 2. Key Strategic Recommendations 77 77 78 78 === Immediate Actions