Changes for page POC Summary (POC1 & POC2)

Last modified by Robert Schaub on 2025/12/24 09:44

From version 6.1
edited by Robert Schaub
on 2025/12/24 09:44
Change comment: Renamed from xwiki:Test.FactHarbor.Specification.POC.Summary
To version 2.1
edited by Robert Schaub
on 2025/12/23 18:49
Change comment: Imported from XAR

Summary

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Content
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1 -= POC Summary (POC1 & POC2) =
1 += FactHarbor - Complete Analysis Summary
2 +**Consolidated Document - No Timelines**
3 +**Date:** December 19, 2025
2 2  
3 -== 1. POC Specification ==
5 +---
4 4  
7 +== 1. POC Specification - DEFINITIVE
8 +
5 5  === POC Goal
6 6  Prove that AI can extract claims and determine verdicts automatically without human intervention.
7 7  
... ... @@ -71,91 +71,172 @@
71 71  
72 72  > "Build less, learn more, decide faster. Test the hardest part first."
73 73  
78 +---
74 74  
80 +== 2. Gap Analysis - Strategic Framework
75 75  
76 -=== Context-Aware Analysis (Experimental POC1 Feature) ===
82 +=== Framework Definition
77 77  
78 -**Problem:** Article credibility ≠ simple average of claim verdicts
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?
79 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.
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?
81 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
94 +=== 18 Gaps Identified
87 87  
88 -**Testing:**
89 -* 30-article test set
90 -* Success: ≥70% accuracy detecting misleading articles
91 -* Marked as experimental
96 +**Category 1: Accessibility & Inclusivity**
97 +1. WCAG 2.1 Compliance
98 +2. Multilingual Support
92 92  
93 -**See:** [[Article Verdict Problem>>Test.FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches.
100 +**Category 2: Platform Integration**
101 +3. Browser Extensions
102 +4. Embeddable Widgets
103 +5. ClaimReview Schema
94 94  
105 +**Category 3: Media Verification**
106 +6. Image/Video/Audio Verification
95 95  
96 -== 2. POC2 Specification ==
108 +**Category 4: Mobile & Offline**
109 +7. Mobile Apps / PWA
110 +8. Offline Access
97 97  
98 -=== POC2 Goal ===
99 -Prove that AKEL produces high-quality outputs consistently at scale with complete quality validation.
112 +**Category 5: Education & Media Literacy**
113 +9. Educational Resources
114 +10. Media Literacy Integration
100 100  
101 -=== POC2 Enhancements (From POC1) ===
116 +**Category 6: Collaboration & Community**
117 +11. Professional Collaboration Tools
118 +12. Community Discussion
102 102  
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)
120 +**Category 7: Export & Sharing**
121 +13. Export Capabilities (PDF, CSV)
122 +14. Social Sharing Optimization
108 108  
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
124 +**Category 8: Advanced Features**
125 +15. User Analytics
126 +16. Personalization
127 +17. Media Archiving
128 +18. Advanced Search
114 114  
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
130 +=== Importance/Urgency Analysis
120 120  
121 -**4. QUALITY METRICS DASHBOARD (NFR13)**
122 -* Track hallucination rates
123 -* Monitor gate performance
124 -* Evidence quality metrics
125 -* Processing statistics
132 +**VERY HIGH Importance + HIGH Urgency:**
133 +1. **Accessibility (WCAG)**
134 + - Risk: Legal liability, 15-20% users excluded
135 + - Urgency: European Accessibility Act (June 28, 2025)
136 + - Action: Must be built from start (retrofitting 100x more expensive)
126 126  
127 -=== What's Still NOT in POC2 ===
138 +2. **Educational Resources**
139 + - Risk: Platform fails if users can't understand
140 + - Urgency: Required for any adoption
141 + - Action: Basic onboarding essential
128 128  
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)
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
134 134  
135 -=== Success Criteria ===
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
136 136  
137 -**Quality:**
138 -* Hallucination rate <5% (target: <3%)
139 -* Average quality rating ≥8.0/10
140 -* Gates identify >95% of low-quality outputs
152 +---
141 141  
142 -**Performance:**
143 -* All 4 quality gates operational
144 -* Evidence deduplication >95% accurate
145 -* Quality metrics tracked continuously
154 +== 1.7 POC Alignment with Full Specification
146 146  
147 -**Context-Aware (if implemented):**
148 -* Maintains ≥70% accuracy detecting misleading articles
149 -* <15% false positive rate
156 +=== POC Intentional Simplifications
150 150  
151 -**Total Output Size:** Similar to POC1 (~220-350 words per analysis)
158 +**POC1 tests core AI capability, not full architecture:**
152 152  
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?
153 153  
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)
154 154  
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
155 155  
180 +=== Full System Architecture (Future)
156 156  
157 -== 2. Key Strategic Recommendations
182 +**Workflow:**
183 +{{code}}
184 +Claims → Scenarios → Evidence → Verdicts
185 +{{/code}}
158 158  
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 +
159 159  === Immediate Actions
160 160  
161 161  **For POC:**
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206 206  
207 207  **Don't build anything without answering these questions.**
208 208  
294 +---
295 +
209 209  == 4. Critical Principles
210 210  
211 211  === Automation First
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237 237  - Accept limitations
238 238  - No overpromising
239 239  
327 +---
328 +
240 240  == 5. POC Decision Gate
241 241  
242 242  === After POC, Choose:
... ... @@ -259,6 +259,8 @@
259 259  - Addressable with better prompts
260 260  - Test again after changes
261 261  
351 +---
352 +
262 262  == 6. Key Risks & Mitigations
263 263  
264 264  === Risk 1: AI Quality Not Good Enough
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281 281  **Mitigation:** Strict scope discipline, say NO to additions
282 282  **Acceptance:** POC is minimal by design
283 283  
375 +---
376 +
284 284  == 7. Success Metrics
285 285  
286 286  === POC Success
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302 302  - Public discourse improves
303 303  - Trust in evidence increases
304 304  
398 +---
399 +
305 305  == 8. What Makes FactHarbor Different
306 306  
307 307  === Not Traditional Fact-Checking
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322 322  - ✅ Making process transparent
323 323  - ✅ Enabling informed decisions
324 324  
420 +---
421 +
325 325  == 9. Core Philosophy
326 326  
327 327  **Three Pillars:**
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344 344  - Evaluate source quality
345 345  - Avoid cherry-picking
346 346  
444 +---
445 +
347 347  == 10. Next Actions
348 348  
349 349  === Immediate
... ... @@ -364,6 +364,8 @@
364 364  □ Learn from failures
365 365  □ Stay focused on mission
366 366  
466 +---
467 +
367 367  == Summary of Summaries
368 368  
369 369  **POC Goal:** Prove AI can do this automatically
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378 378  **Strategy:** Test first, build second. Fail fast. Stay focused.
379 379  **Philosophy:** Scenarios, transparency, evidence. No false certainty.
380 380  
482 +---
483 +
381 381  == Document Status
382 382  
383 383  **This document supersedes all previous analysis documents.**
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391 391  
392 392  **Previous documents are archived for reference but this is the authoritative summary.**
393 393  
497 +---
498 +
394 394  **End of Consolidated Summary**
395 395