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Last modified by Robert Schaub on 2025/12/24 20:34
From version 4.1
edited by Robert Schaub
on 2025/12/12 09:32
Change comment: Imported from XAR
To version 7.5
edited by Robert Schaub
on 2025/12/16 20:28
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1 -FactHarbor.Specification.WebHome
1 +FactHarbor.Archive.FactHarbor V0\.9\.18.Specification.WebHome
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1 1  = Automation =
2 2  
3 -Automation in FactHarbor amplifies human capability but never replaces human oversight.
4 -All automated outputs require human review before publication.
3 +Automation in FactHarbor amplifies human capability while implementing risk-based oversight.
5 5  
6 6  This chapter defines:
6 +
7 +* Risk-based publication model
8 +* Quality gates for AI-generated content
7 7  * What must remain human-only
8 -* What AI (AKEL) can draft
10 +* What AI (AKEL) can draft and publish
9 9  * What can be fully automated
10 10  * How automation evolves through POC → Beta 0 → Release 1.0
11 11  
12 -== POC v1 (Fully Automated "Text to Truth Landscape") ==
14 +== POC v1 (AI-Generated Publication Demonstration) ==
13 13  
14 -The goal of POC v1 is to validate the automated reasoning capabilities of the data model without human intervention.
16 +The goal of POC v1 is to validate the automated reasoning capabilities and demonstrate AI-generated content publication.
15 15  
16 16  === Workflow ===
17 17  
18 18  1. **Input**: User pastes a block of raw text.
19 19  1. **Deep Analysis (Background)**: The system autonomously performs the full pipeline **before** displaying the text:
22 +
20 20  * Extraction & Normalisation
21 21  * Scenario & Sub-query generation
22 -* Evidence retrieval & Verdict computation
25 +* Evidence retrieval with **contradiction search**
26 +* Quality gate validation
27 +* Verdict computation
28 +
23 23  1. **Visualisation (Extraction & Marking)**: The system displays the text with claims extracted and marked.
30 +
24 24  * **Verdict-Based Coloring**: The extraction highlights (e.g. Orange/Green) are chosen **according to the computed verdict** for each claim.
32 +* **AI-Generated Label**: Clear indication that content is AI-produced
33 +
25 25  1. **Inspection**: User clicks a highlighted claim to see the **Reasoning Trail**, showing exactly which evidence and sub-queries led to that verdict.
26 26  
27 27  === Technical Scope ===
28 28  
29 -* **Fully Automated**: No human-in-the-loop for this phase.
30 -* **Structured Sub-Queries**: Logic is generated by decomposing claims into the FactHarbor data model.
31 -* **Latency**: Focus on accuracy of reasoning over real-time speed for v1.
38 +* **AI-Generated Publication**: Content published as Mode 2 (AI-Generated, no prior human review)
39 +* **Quality Gates Active**: All automated quality checks enforced
40 +* **Contradiction Search Demonstrated**: Shows counter-evidence and reservation detection
41 +* **Risk Tier Classification**: POC shows tier assignment (demo purposes)
42 +* **No Human Approval Gate**: Demonstrates scalable AI publication
43 +* **Structured Sub-Queries**: Logic generated by decomposing claims into the FactHarbor data model
32 32  
33 33  ----
34 34  
35 -== Manual vs Automated Responsibilities ==
47 +== Publication Model ==
36 36  
37 -=== Human-Only Tasks ===
49 +FactHarbor implements a risk-based publication model with three modes:
38 38  
39 -These require human judgment, ethics, or contextual interpretation:
51 +=== Mode 1: Draft-Only ===
40 40  
41 -* Definition of key terms in claims
42 -* Approval or rejection of scenarios
43 -* Interpretation of evidence in context
44 -* Final verdict approval
45 -* Governance decisions and dispute resolution
46 -* High-risk domain oversight
47 -* Ethical boundary decisions (especially medical, political, psychological)
53 +* Failed quality gates
54 +* High-risk content pending expert review
55 +* Internal review queue only
48 48  
49 -=== Semi-Automated (AI Draft → Human Review) ===
57 +=== Mode 2: AI-Generated (Public) ===
50 50  
51 -AKEL can draft these, but humans must refine/approve:
59 +* Passed all quality gates
60 +* Risk tier B or C
61 +* Clear AI-generated labeling
62 +* Users can request human review
52 52  
53 -* Scenario structures (definitions, assumptions, context)
54 -* Evaluation methods
55 -* Evidence relevance suggestions
56 -* Reliability hints
57 -* Verdict reasoning chains
58 -* Uncertainty and limitations
59 -* Scenario comparison explanations
60 -* Suggestions for merging or splitting scenarios
61 -* Draft public summaries
64 +=== Mode 3: Human-Reviewed ===
62 62  
63 -=== Fully Automated Structural Tasks ===
66 +* Validated by human reviewers/experts
67 +* "Human-Reviewed" status badge
68 +* Required for Tier A content publication
64 64  
70 +See [[AKEL page>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]] for detailed publication mode descriptions.
71 +
72 +----
73 +
74 +== Risk Tiers and Automation Levels ==
75 +
76 +=== Tier A (High Risk) ===
77 +
78 +* **Domains**: Medical, legal, elections, safety, security
79 +* **Automation**: AI can draft, human review required for "Human-Reviewed" status
80 +* **AI publication**: Allowed with prominent disclaimers and warnings
81 +* **Audit rate**: Recommendation: 30-50%
82 +
83 +=== Tier B (Medium Risk) ===
84 +
85 +* **Domains**: Complex policy, science, causality claims
86 +* **Automation**: AI can draft and publish (Mode 2)
87 +* **Human review**: Optional, audit-based
88 +* **Audit rate**: Recommendation: 10-20%
89 +
90 +=== Tier C (Low Risk) ===
91 +
92 +* **Domains**: Definitions, established facts, historical data
93 +* **Automation**: AI publication default
94 +* **Human review**: On request or via sampling
95 +* **Audit rate**: Recommendation: 5-10%
96 +
97 +----
98 +
99 +== Human-Only Tasks ==
100 +
101 +These require human judgment and cannot be automated:
102 +
103 +* **Ethical boundary decisions** (especially medical, political, psychological harm assessment)
104 +* **Dispute resolution** between conflicting expert opinions
105 +* **Governance policy** setting and enforcement
106 +* **Final authority** on Tier A "Human-Reviewed" status
107 +* **Audit system oversight** and quality standard definition
108 +* **Risk tier policy** adjustments based on societal context
109 +
110 +----
111 +
112 +== AI-Draft with Audit (Semi-Automated) ==
113 +
114 +AKEL drafts these; humans validate via sampling audits:
115 +
116 +* **Scenario structures** (definitions, assumptions, context)
117 +* **Evaluation methods** and reasoning chains
118 +* **Evidence relevance** assessment and ranking
119 +* **Reliability scoring** and source evaluation
120 +* **Verdict reasoning** with uncertainty quantification
121 +* **Contradiction and reservation** identification
122 +* **Scenario comparison** explanations
123 +* **Public summaries** and accessibility text
124 +
125 +Most Tier B and C content remains in AI-draft status unless:
126 +
127 +* Users request human review
128 +* Audits identify errors
129 +* High engagement triggers review
130 +* Community flags issues
131 +
132 +----
133 +
134 +== Fully Automated Structural Tasks ==
135 +
65 65  These require no human interpretation:
66 66  
138 +* **Claim normalization** (canonical form generation)
139 +* **Duplicate detection** (vector embeddings, clustering)
140 +* **Evidence metadata extraction** (dates, authors, publication info)
141 +* **Basic reliability heuristics** (source reputation scoring)
142 +* **Contradiction detection** (conflicting statements across sources)
143 +* **Re-evaluation triggers** (new evidence, source updates)
144 +* **Layout generation** (diagrams, summaries, UI presentation)
145 +* **Federation integrity checks** (cross-node data validation)
146 +
147 +----
148 +
149 +== Quality Gates (Automated) ==
150 +
151 +Before AI-draft publication (Mode 2), content must pass:
152 +
153 +1. **Source Quality Gate**
154 +
155 +* Primary sources verified
156 +* Citations complete and accessible
157 +* Source reliability scored
158 +
159 +2. **Contradiction Search Gate** (MANDATORY)
160 +
161 +* Counter-evidence actively sought
162 +* Reservations and limitations identified
163 +* Bubble detection (echo chambers, conspiracy theories)
164 +* Diverse perspective verification
165 +
166 +3. **Uncertainty Quantification Gate**
167 +
168 +* Confidence scores calculated
169 +* Limitations stated
170 +* Data gaps disclosed
171 +
172 +4. **Structural Integrity Gate**
173 +
174 +* No hallucinations detected
175 +* Logic chain valid
176 +* References verifiable
177 +
178 +See [[AKEL page>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]] for detailed quality gate specifications.
179 +
180 +----
181 +
182 +== Audit System ==
183 +
184 +Instead of reviewing all AI output, systematic sampling audits ensure quality:
185 +
186 +=== Stratified Sampling ===
187 +
188 +* Risk tier (A > B > C sampling rates)
189 +* Confidence scores (low confidence → more audits)
190 +* Traffic/engagement (popular content audited more)
191 +* Novelty (new topics/claim types prioritized)
192 +* User flags and disagreement signals
193 +
194 +=== Continuous Improvement Loop ===
195 +
196 +Audit findings improve:
197 +
198 +* Query templates
199 +* Source reliability weights
200 +* Contradiction detection algorithms
201 +* Risk tier assignment rules
202 +* Bubble detection heuristics
203 +
204 +=== Transparency ===
205 +
206 +* Audit statistics published
207 +* Accuracy rates by tier reported
208 +* System improvements documented
209 +
210 +----
211 +
212 +== Automation Roadmap ==
213 +
214 +Automation capabilities increase with system maturity while maintaining quality oversight.
215 +
216 +=== POC (Current Focus) ===
217 +
218 +**Automated:**
219 +
67 67  * Claim normalization
68 -* Duplicate & cluster detection (vector embeddings)
221 +* Scenario template generation
69 69  * Evidence metadata extraction
70 -* Basic reliability heuristics
71 -* Contradiction detection
72 -* Re-evaluation triggers
73 -* Batch layout generation (diagrams, summaries)
74 -* Federation integrity checks
223 +* Simple verdict drafts
224 +* **AI-generated publication** (Mode 2, with quality gates)
225 +* **Contradiction search**
226 +* **Risk tier assignment**
75 75  
76 -== Automation Roadmap ==
228 +**Human:**
77 77  
78 -Automation increases with maturity.
230 +* High-risk content validation (Tier A)
231 +* Sampling audits across all tiers
232 +* Quality standard refinement
233 +* Governance decisions
79 79  
80 -=== POC (Low Automation) ===
81 -* **Automated**: Claim normalization, Light scenario templates, Metadata extraction, Internal drafts.
82 -* **Human**: All scenario definitions, Evidence interpretation, Verdict creation, Governance.
235 +=== Beta 0 (Enhanced Automation) ===
83 83  
84 -=== Beta 0 (Medium Automation) ===
85 -* **Automated**: Detailed scenario drafts, Evidence reliability scoring, Cross-scenario comparisons, Contradiction detection.
86 -* **Human**: Scenario approval, Final verdict validation.
237 +**Automated:**
87 87  
239 +* Detailed scenario generation
240 +* Advanced evidence reliability scoring
241 +* Cross-scenario comparisons
242 +* Multi-source contradiction detection
243 +* Internal Truth Landscape generation
244 +* **Increased AI-draft coverage** (more Tier B content)
245 +
246 +**Human:**
247 +
248 +* Tier A final approval
249 +* Audit sampling (continued)
250 +* Expert validation of complex domains
251 +* Quality improvement oversight
252 +
88 88  === Release 1.0 (High Automation) ===
89 -* **Automated**: Full scenario generation, Evidence relevance ranking, Bayesian verdict scoring, Anomaly detection, Federation sync.
90 -* **Human**: Final approval, Ethical decisions, Oversight.
91 91  
92 -== Automation Levels ==
255 +**Automated:**
93 93  
94 -* **Level 0 — Human-Centric (POC)**: AI is purely advisory, nothing auto-published.
95 -* **Level 1 — Assisted (Beta 0)**: AI drafts structures; humans approve each part.
96 -* **Level 2 — Structured (Release 1.0)**: AI produces near-complete drafts; humans refine.
97 -* **Level 3 — Distributed Intelligence (Future)**: Nodes exchange embeddings and alerts; humans still approve.
257 +* Full scenario generation (comprehensive)
258 +* Bayesian verdict scoring across scenarios
259 +* Multi-scenario summary generation
260 +* Anomaly detection across federated nodes
261 +* AKEL-assisted cross-node synchronization
262 +* **Most Tier B and all Tier C** auto-published
98 98  
99 -== Automation Matrix ==
264 +**Human:**
100 100  
101 -* **Always Human**: Final verdict, Scenario validity, Ethics, Disputes.
102 -* **Mostly AI**: Normalization, Clustering, Metadata, Heuristics, Alerts.
103 -* **Mixed**: Definitions, Boundaries, Assumptions, Reasoning.
266 +* Tier A oversight (still required)
267 +* Strategic audits (lower sampling rates, higher value)
268 +* Ethical decisions and policy
269 +* Conflict resolution
104 104  
105 -== Diagram References ==
271 +----
106 106  
107 -{{include reference="FactHarbor.Specification.Diagrams.Automation Roadmap.WebHome"/}}
273 +== Automation Levels Diagram ==
108 108  
109 -{{include reference="FactHarbor.Specification.Diagrams.Automation Level.WebHome"/}}
275 +{{include reference="FactHarbor.Archive.FactHarbor V0\.9\.23 Lost Data.Specification.Diagrams.Automation Level.WebHome"/}}
110 110  
111 -{{include reference="FactHarbor.Specification.Diagrams.Manual vs Automated matrix.WebHome"/}}
277 +----
278 +
279 +== Automation Roadmap Diagram ==
280 +
281 +{{include reference="FactHarbor.Archive.FactHarbor V0\.9\.23 Lost Data.Specification.Diagrams.Automation Roadmap.WebHome"/}}
282 +
283 +----
284 +
285 +== Manual vs Automated Matrix ==
286 +
287 +{{include reference="Test.FactHarborV09.Specification.Diagrams.Manual vs Automated matrix.WebHome"/}}
288 +
289 +----
290 +
291 +== Related Pages ==
292 +
293 +* [[AKEL (AI Knowledge Extraction Layer)>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
294 +* [[Requirements (Roles)>>FactHarbor.Specification.Requirements.WebHome]]
295 +* [[Workflows>>FactHarbor.Specification.Workflows.WebHome]]
296 +* [[Governance>>FactHarbor.Organisation.Governance]]