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
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... ... @@ -1,11 +1,7 @@ 1 -= FactHarbor - Complete Analysis Summary 2 -**Consolidated Document - No Timelines** 3 -**Date:** December 19, 2025 1 += POC Summary (POC1 & POC2) = 4 4 5 - ---3 +== 1. POC Specification == 6 6 7 -== 1. POC Specification - DEFINITIVE 8 - 9 9 === POC Goal 10 10 Prove that AI can extract claims and determine verdicts automatically without human intervention. 11 11 ... ... @@ -75,172 +75,91 @@ 75 75 76 76 > "Build less, learn more, decide faster. Test the hardest part first." 77 77 78 ---- 79 79 80 -== 2. Gap Analysis - Strategic Framework 81 81 82 -=== Framework Definition76 +=== Context-Aware Analysis (Experimental POC1 Feature) === 83 83 84 -**Importance = f(risk, impact, strategy)** 85 -- Risk: What breaks if we don't have this? 86 -- Impact: How many users? How severe? 87 -- Strategy: Does it advance FactHarbor's mission? 78 +**Problem:** Article credibility ≠ simple average of claim verdicts 88 88 89 -**Urgency = f(fail fast and learn, legal, promises made)** 90 -- Fail fast: Do we need to test assumptions? 91 -- Legal: External requirements/deadlines? 92 -- Promises: Commitments to stakeholders? 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. 93 93 94 -=== 18 Gaps Identified 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 95 95 96 -**Category 1: Accessibility & Inclusivity** 97 -1. WCAG 2.1 Compliance 98 -2. Multilingual Support 88 +**Testing:** 89 +* 30-article test set 90 +* Success: ≥70% accuracy detecting misleading articles 91 +* Marked as experimental 99 99 100 -**Category 2: Platform Integration** 101 -3. Browser Extensions 102 -4. Embeddable Widgets 103 -5. ClaimReview Schema 93 +**See:** [[Article Verdict Problem>>Test.FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches. 104 104 105 -**Category 3: Media Verification** 106 -6. Image/Video/Audio Verification 107 107 108 -**Category 4: Mobile & Offline** 109 -7. Mobile Apps / PWA 110 -8. Offline Access 96 +== 2. POC2 Specification == 111 111 112 -**Category 5: Education & Media Literacy** 113 -9. Educational Resources 114 -10. Media Literacy Integration 98 +=== POC2 Goal === 99 +Prove that AKEL produces high-quality outputs consistently at scale with complete quality validation. 115 115 116 -**Category 6: Collaboration & Community** 117 -11. Professional Collaboration Tools 118 -12. Community Discussion 101 +=== POC2 Enhancements (From POC1) === 119 119 120 -**Category 7: Export & Sharing** 121 -13. Export Capabilities (PDF, CSV) 122 -14. Social Sharing Optimization 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) 123 123 124 -**C ategory8:AdvancedFeatures**125 - 15.UserAnalytics126 - 16.Personalization127 - 17.MediaArchiving128 - 18.AdvancedSearch109 +**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 129 129 130 -=== Importance/Urgency Analysis 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 131 131 132 -** VERYHIGHImportance+HIGHUrgency:**133 - 1.**Accessibility(WCAG)**134 - - Risk:Legal liability, 15-20% usersexcluded135 - - Urgency:European AccessibilityAct (June28, 2025)136 - - Action:Mustbe built from start(retrofitting 100x more expensive)121 +**4. QUALITY METRICS DASHBOARD (NFR13)** 122 +* Track hallucination rates 123 +* Monitor gate performance 124 +* Evidence quality metrics 125 +* Processing statistics 137 137 138 -2. **Educational Resources** 139 - - Risk: Platform fails if users can't understand 140 - - Urgency: Required for any adoption 141 - - Action: Basic onboarding essential 127 +=== What's Still NOT in POC2 === 142 142 143 -**HIGH Importance + MEDIUM Urgency:** 144 -3. **Browser Extensions** - Standard user expectation, test demand first 145 -4. **Media Verification** - Cannot address visual misinformation without it 146 -5. **Multilingual** - Global mission requires it, plan early 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) 147 147 148 -**HIGH Importance + LOW Urgency:** 149 -6. **Mobile Apps** - 90%+ users on mobile, but web-first viable 150 -7. **ClaimReview Schema** - SEO/discoverability, can add anytime 135 +=== Success Criteria === 151 151 152 ---- 137 +**Quality:** 138 +* Hallucination rate <5% (target: <3%) 139 +* Average quality rating ≥8.0/10 140 +* Gates identify >95% of low-quality outputs 153 153 154 -== 1.7 POC Alignment with Full Specification 142 +**Performance:** 143 +* All 4 quality gates operational 144 +* Evidence deduplication >95% accurate 145 +* Quality metrics tracked continuously 155 155 156 -=== POC Intentional Simplifications 147 +**Context-Aware (if implemented):** 148 +* Maintains ≥70% accuracy detecting misleading articles 149 +* <15% false positive rate 157 157 158 -** POC1testscoreAI capability,notfullarchitecture:**151 +**Total Output Size:** Similar to POC1 (~220-350 words per analysis) 159 159 160 -**What POC Tests:** 161 -- Can AI extract claims from articles? 162 -- Can AI evaluate claims with reasonable verdicts? 163 -- Is fully automated approach viable? 164 -- Is output comprehensible to users? 165 165 166 -**What POC Excludes (Intentionally):** 167 -- ❌ Scenarios (deferred to POC2 - open architectural questions remain) 168 -- ❌ Evidence display (deferred to POC2) 169 -- ❌ Multi-component AKEL pipeline (simplified to single API call) 170 -- ❌ Quality gate infrastructure (simplified basic checks) 171 -- ❌ Production data model (stateless POC) 172 -- ❌ Review workflow system (no review queue) 173 173 174 -**Why Simplified:** 175 -- Fail fast: Test hardest part first (AI capability) 176 -- Learn before building: POC1 informs architecture decisions 177 -- Iterative: Add complexity based on POC1 learnings 178 -- Risk management: Prove concept before major investment 179 179 180 -=== Full System Architecture (Future) 181 181 182 -**Workflow:** 183 -{{code}} 184 -Claims → Scenarios → Evidence → Verdicts 185 -{{/code}} 157 +== 2. Key Strategic Recommendations 186 186 187 -**AKEL Components:** 188 -- Orchestrator 189 -- Claim Extractor & Classifier 190 -- Scenario Generator 191 -- Evidence Summarizer 192 -- Contradiction Detector 193 -- Quality Gate Validator 194 -- Audit Sampling Scheduler 195 - 196 -**Publication Modes:** 197 -- Mode 1: Draft-Only 198 -- Mode 2: AI-Generated (POC uses this) 199 -- Mode 3: AKEL-Generated (Human-Reviewed) 200 - 201 -=== POC vs. Full System Summary 202 - 203 -|=Aspect|=POC1|=Full System 204 -|Scenarios|None (deferred to POC2)|Core component with versioning 205 -|Workflow|3 steps (input/process/output)|6 phases with quality gates 206 -|AKEL|Single API call|Multi-component orchestrated pipeline 207 -|Data|Stateless (no DB)|PostgreSQL + Redis + S3 208 -|Publication|Mode 2 only|Modes 1/2/3 with risk-based routing 209 -|Quality Gates|4 simplified checks|Full validation infrastructure 210 - 211 -=== Gap Between POC and Beta 212 - 213 -**Significant architectural expansion needed:** 214 -1. Scenario generation component design and implementation 215 -2. Evidence Model full structure 216 -3. Multi-phase workflow with gates 217 -4. Component-based AKEL architecture 218 -5. Production data model and storage 219 -6. Review workflow and audit systems 220 - 221 -**POC proves concept. Beta builds product.** 222 - 223 - 224 -**MEDIUM Importance + LOW Urgency:** 225 -8-14. All other features - valuable but not urgent 226 - 227 -**Strategic Decisions Needed:** 228 -- Community discussion: Allow or stay evidence-focused? 229 -- Personalization: How much without filter bubbles? 230 -- Media verification: Partner with existing tools or build? 231 - 232 -=== Key Insight: Milestones Change Priorities 233 - 234 -**POC:** Only educational resources urgent (basic explainer) 235 -**Beta:** Accessibility becomes urgent (test with diverse users) 236 -**Release:** Legal requirements become critical (WCAG, GDPR) 237 - 238 -**Importance/urgency are contextual, not absolute.** 239 - 240 ---- 241 - 242 -== 3. Key Strategic Recommendations 243 - 244 244 === Immediate Actions 245 245 246 246 **For POC:** ... ... @@ -291,8 +291,6 @@ 291 291 292 292 **Don't build anything without answering these questions.** 293 293 294 ---- 295 - 296 296 == 4. Critical Principles 297 297 298 298 === Automation First ... ... @@ -324,8 +324,6 @@ 324 324 - Accept limitations 325 325 - No overpromising 326 326 327 ---- 328 - 329 329 == 5. POC Decision Gate 330 330 331 331 === After POC, Choose: ... ... @@ -348,8 +348,6 @@ 348 348 - Addressable with better prompts 349 349 - Test again after changes 350 350 351 ---- 352 - 353 353 == 6. Key Risks & Mitigations 354 354 355 355 === Risk 1: AI Quality Not Good Enough ... ... @@ -372,8 +372,6 @@ 372 372 **Mitigation:** Strict scope discipline, say NO to additions 373 373 **Acceptance:** POC is minimal by design 374 374 375 ---- 376 - 377 377 == 7. Success Metrics 378 378 379 379 === POC Success ... ... @@ -395,8 +395,6 @@ 395 395 - Public discourse improves 396 396 - Trust in evidence increases 397 397 398 ---- 399 - 400 400 == 8. What Makes FactHarbor Different 401 401 402 402 === Not Traditional Fact-Checking ... ... @@ -417,8 +417,6 @@ 417 417 - ✅ Making process transparent 418 418 - ✅ Enabling informed decisions 419 419 420 ---- 421 - 422 422 == 9. Core Philosophy 423 423 424 424 **Three Pillars:** ... ... @@ -441,8 +441,6 @@ 441 441 - Evaluate source quality 442 442 - Avoid cherry-picking 443 443 444 ---- 445 - 446 446 == 10. Next Actions 447 447 448 448 === Immediate ... ... @@ -463,8 +463,6 @@ 463 463 □ Learn from failures 464 464 □ Stay focused on mission 465 465 466 ---- 467 - 468 468 == Summary of Summaries 469 469 470 470 **POC Goal:** Prove AI can do this automatically ... ... @@ -479,8 +479,6 @@ 479 479 **Strategy:** Test first, build second. Fail fast. Stay focused. 480 480 **Philosophy:** Scenarios, transparency, evidence. No false certainty. 481 481 482 ---- 483 - 484 484 == Document Status 485 485 486 486 **This document supersedes all previous analysis documents.** ... ... @@ -494,7 +494,5 @@ 494 494 495 495 **Previous documents are archived for reference but this is the authoritative summary.** 496 496 497 ---- 498 - 499 499 **End of Consolidated Summary** 500 500