Changes for page Automation

Last modified by Robert Schaub on 2026/02/08 21:22

From version 2.2
edited by Robert Schaub
on 2025/12/17 18:07
Change comment: Update document after refactoring.
To version 2.4
edited by Robert Schaub
on 2026/01/20 20:20
Change comment: Renamed back-links.

Summary

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1 -FactHarbor.Archive.FactHarbor 0\.9\.40.Specification.WebHome
1 +Archive.FactHarbor 0\.9\.40.Specification.WebHome
Content
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3 3  Automation in FactHarbor amplifies human capability while implementing risk-based oversight.
4 4  
5 5  This chapter defines:
6 +
6 6  * Risk-based publication model
7 7  * Quality gates for AI-generated content
8 8  * What must remain human-only
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18 18  
19 19  1. **Input**: User pastes a block of raw text.
20 20  1. **Deep Analysis (Background)**: The system autonomously performs the full pipeline **before** displaying the text:
22 +
21 21  * Extraction & Normalisation
22 22  * Scenario & Sub-query generation
23 23  * Evidence retrieval with **contradiction search**
24 24  * Quality gate validation
25 25  * Verdict computation
28 +
26 26  1. **Visualisation (Extraction & Marking)**: The system displays the text with claims extracted and marked.
30 +
27 27  * **Verdict-Based Coloring**: The extraction highlights (e.g. Orange/Green) are chosen **according to the computed verdict** for each claim.
28 28  * **AI-Generated Label**: Clear indication that content is AI-produced
33 +
29 29  1. **Inspection**: User clicks a highlighted claim to see the **Reasoning Trail**, showing exactly which evidence and sub-queries led to that verdict.
30 30  
31 31  === 1.2 Technical Scope ===
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37 37  * **No Human Approval Gate**: Demonstrates scalable AI publication
38 38  * **Structured Sub-Queries**: Logic generated by decomposing claims into the FactHarbor data model
39 39  
40 -
41 41  == 2. Publication Model ==
42 42  
43 43  FactHarbor implements a risk-based publication model with three modes:
44 44  
45 45  === 2.1 Mode 1: Draft-Only ===
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46 46  **Mode 1 (Draft-Only)**: Failed quality gates or high-risk content pending expert review. Internal review queue only.
47 47  
48 48  See [[AKEL Publication Modes>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome#HPublicationModes]] for detailed mode specifications.
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49 49  
50 50  
51 51  === 2.2 Mode 2: AI-Generated (Public) ===
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52 52  **Mode 2 (AI-Generated, Published)**: Passed all quality gates, risk tier B or C, clearly labeled as AI-generated. Users can request human review.
53 53  
54 54  See [[AKEL Publication Modes>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome#HPublicationModes]] for detailed requirements.
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55 55  
56 56  
57 57  === 2.3 Mode 3: Human-Reviewed ===
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58 58  **Mode 3 (Human-Reviewed, Published)**: Validated by human reviewers or experts, highest trust level. Required for Tier A content publication.
59 59  
60 60  See [[AKEL Publication Modes>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome#HPublicationModes]] for detailed requirements.
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64 64  
65 65  
66 66  Risk tiers determine review requirements and automation levels. See [[Governance>>FactHarbor.Organisation.Governance.WebHome#HRiskTierPolicyGovernance]] for tier policy governance.
74 +
67 67  === 3.1 Tier A (High Risk) ===
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68 68  * **Domains**: Medical, legal, elections, safety, security
69 69  * **Automation**: AI can draft, human review required for "Human-Reviewed" status
70 70  * **AI publication**: Allowed with prominent disclaimers and warnings
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71 71  * **Audit rate**: Recommendation: 30-50%
72 72  
73 73  === 3.2 Tier B (Medium Risk) ===
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74 74  * **Domains**: Complex policy, science, causality claims
75 75  * **Automation**: AI can draft and publish (Mode 2)
76 76  * **Human review**: Optional, audit-based
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77 77  * **Audit rate**: Recommendation: 10-20%
78 78  
79 79  === 3.3 Tier C (Low Risk) ===
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80 80  * **Domains**: Definitions, established facts, historical data
81 81  * **Automation**: AI publication default
82 82  * **Human review**: On request or via sampling
83 83  * **Audit rate**: Recommendation: 5-10%
84 84  
85 -
86 86  == 4. Human-Only Tasks ==
87 87  
88 88  These require human judgment and cannot be automated:
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94 94  * **Audit system oversight** and quality standard definition
95 95  * **Risk tier policy** adjustments based on societal context
96 96  
97 -
98 98  == 5. AI-Draft with Audit (Semi-Automated) ==
99 99  
100 100  AKEL drafts these; humans validate via sampling audits:
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109 109  * **Public summaries** and accessibility text
110 110  
111 111  Most Tier B and C content remains in AI-draft status unless:
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112 112  * Users request human review
113 113  * Audits identify errors
114 114  * High engagement triggers review
115 115  * Community flags issues
116 116  
117 -
118 118  == 6. Fully Automated Structural Tasks ==
119 119  
120 120  These require no human interpretation:
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128 128  * **Layout generation** (diagrams, summaries, UI presentation)
129 129  * **Federation integrity checks** (cross-node data validation)
130 130  
131 -
132 132  == 7. Quality Gates (Automated) ==
133 133  
134 134  
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147 147  Instead of reviewing all AI output, systematic sampling audits ensure quality:
148 148  
149 149  === 8.1 Stratified Sampling ===
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150 150  * Risk tier (A > B > C sampling rates)
151 151  * Confidence scores (low confidence → more audits)
152 152  * Traffic/engagement (popular content audited more)
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154 154  * User flags and disagreement signals
155 155  
156 156  === 8.2 Continuous Improvement Loop ===
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157 157  Audit findings improve:
168 +
158 158  * Query templates
159 159  * Source reliability weights
160 160  * Contradiction detection algorithms
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162 162  * Bubble detection heuristics
163 163  
164 164  === 8.3 Transparency ===
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165 165  * Audit statistics published
166 166  * Accuracy rates by tier reported
167 167  * System improvements documented
168 168  
169 -
170 170  == 9. Automation Roadmap ==
171 171  
172 172  Automation capabilities increase with system maturity while maintaining quality oversight.
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174 174  === 9.1 POC (Current Focus) ===
175 175  
176 176  **Automated:**
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177 177  * Claim normalization
178 178  * Scenario template generation
179 179  * Evidence metadata extraction
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183 183  * **Risk tier assignment**
184 184  
185 185  **Human:**
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186 186  * High-risk content validation (Tier A)
187 187  * Sampling audits across all tiers
188 188  * Quality standard refinement
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191 191  === 9.2 Beta 0 (Enhanced Automation) ===
192 192  
193 193  **Automated:**
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194 194  * Detailed scenario generation
195 195  * Advanced evidence reliability scoring
196 196  * Cross-scenario comparisons
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199 199  * **Increased AI-draft coverage** (more Tier B content)
200 200  
201 201  **Human:**
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202 202  * Tier A final approval
203 203  * Audit sampling (continued)
204 204  * Expert validation of complex domains
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207 207  === 9.3 Release 1.0 (High Automation) ===
208 208  
209 209  **Automated:**
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210 210  * Full scenario generation (comprehensive)
211 211  * Bayesian verdict scoring across scenarios
212 212  * Multi-scenario summary generation
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215 215  * **Most Tier B and all Tier C** auto-published
216 216  
217 217  **Human:**
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218 218  * Tier A oversight (still required)
219 219  * Strategic audits (lower sampling rates, higher value)
220 220  * Ethical decisions and policy
221 221  * Conflict resolution
222 222  
223 -
224 224  == 10. Automation Levels Diagram ==
225 225  
226 226  {{include reference="FactHarbor.Specification.Diagrams.Automation Level.WebHome"/}}
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241 241  * [[AKEL (AI Knowledge Extraction Layer)>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
242 242  * [[Requirements (Roles)>>FactHarbor.Specification.Requirements.WebHome]]
243 243  * [[Workflows>>FactHarbor.Specification.Workflows.WebHome]]
244 -* [[Governance>>FactHarbor.Organisation.Governance]]
245 -
260 +* [[Governance>>Archive.FactHarbor.Organisation.Governance.WebHome]]