Changes for page Automation
Last modified by Robert Schaub on 2025/12/24 20:34
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... ... @@ -1,271 +1,167 @@ 1 1 = Automation = 2 2 3 -Automation in FactHarbor amplifies human capability while implementing risk-based oversight. 3 +Automation in FactHarbor amplifies human capability but never replaces human oversight. 4 +All automated outputs require human review before publication. 4 4 5 5 This chapter defines: 6 -* Risk-based publication model 7 -* Quality gates for AI-generated content 7 + 8 8 * What must remain human-only 9 -* What AI (AKEL) can draft and publish9 +* What AI (AKEL) can draft 10 10 * What can be fully automated 11 11 * How automation evolves through POC → Beta 0 → Release 1.0 12 12 13 - == POC v1 (AI-Generated Publication Demonstration) ==13 +---- 14 14 15 - Thegoalof POCv1 isto validate the automatedreasoning capabilitiesand demonstrate AI-generated content publication.15 += Manual vs Automated Responsibilities = 16 16 17 -== =Workflow===17 +== Human-Only Tasks == 18 18 19 -1. **Input**: User pastes a block of raw text. 20 -1. **Deep Analysis (Background)**: The system autonomously performs the full pipeline **before** displaying the text: 21 -* Extraction & Normalisation 22 -* Scenario & Sub-query generation 23 -* Evidence retrieval with **contradiction search** 24 -* Quality gate validation 25 -* Verdict computation 26 -1. **Visualisation (Extraction & Marking)**: The system displays the text with claims extracted and marked. 27 -* **Verdict-Based Coloring**: The extraction highlights (e.g. Orange/Green) are chosen **according to the computed verdict** for each claim. 28 -* **AI-Generated Label**: Clear indication that content is AI-produced 29 -1. **Inspection**: User clicks a highlighted claim to see the **Reasoning Trail**, showing exactly which evidence and sub-queries led to that verdict. 19 +These require human judgment, ethics, or contextual interpretation: 30 30 31 -=== Technical Scope === 21 +* Definition of key terms in claims 22 +* Approval or rejection of scenarios 23 +* Interpretation of evidence in context 24 +* Final verdict approval 25 +* Governance decisions and dispute resolution 26 +* High-risk domain oversight 27 +* Ethical boundary decisions (especially medical, political, psychological) 32 32 33 -* **AI-Generated Publication**: Content published as Mode 2 (AI-Generated, no prior human review) 34 -* **Quality Gates Active**: All automated quality checks enforced 35 -* **Contradiction Search Demonstrated**: Shows counter-evidence and reservation detection 36 -* **Risk Tier Classification**: POC shows tier assignment (demo purposes) 37 -* **No Human Approval Gate**: Demonstrates scalable AI publication 38 -* **Structured Sub-Queries**: Logic generated by decomposing claims into the FactHarbor data model 29 +== Semi-Automated (AI Draft → Human Review) == 39 39 40 - ----31 +AKEL can draft these, but humans must refine/approve: 41 41 42 -== Publication Model == 33 +* Scenario structures (definitions, assumptions, context) 34 +* Evaluation methods 35 +* Evidence relevance suggestions 36 +* Reliability hints 37 +* Verdict reasoning chains 38 +* Uncertainty and limitations 39 +* Scenario comparison explanations 40 +* Suggestions for merging or splitting scenarios 41 +* Draft public summaries 43 43 44 -F actHarbor implementsarisk-basedpublication modelwith three modes:43 +== Fully Automated Structural Tasks == 45 45 46 -=== Mode 1: Draft-Only === 47 -* Failed quality gates 48 -* High-risk content pending expert review 49 -* Internal review queue only 45 +These require no human interpretation: 50 50 51 -=== Mode 2: AI-Generated (Public) === 52 -* Passed all quality gates 53 -* Risk tier B or C 54 -* Clear AI-generated labeling 55 -* Users can request human review 47 +* Claim normalization 48 +* Duplicate & cluster detection (vector embeddings) 49 +* Evidence metadata extraction 50 +* Basic reliability heuristics 51 +* Contradiction detection 52 +* Re-evaluation triggers 53 +* Batch layout generation (diagrams, summaries) 54 +* Federation integrity checks 56 56 57 -=== Mode 3: Human-Reviewed === 58 -* Validated by human reviewers/experts 59 -* "Human-Reviewed" status badge 60 -* Required for Tier A content publication 61 - 62 -See [[AKEL page>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]] for detailed publication mode descriptions. 63 - 64 64 ---- 65 65 66 -= =Risk Tiers andAutomationLevels==58 += Automation Roadmap = 67 67 68 -=== Tier A (High Risk) === 69 -* **Domains**: Medical, legal, elections, safety, security 70 -* **Automation**: AI can draft, human review required for "Human-Reviewed" status 71 -* **AI publication**: Allowed with prominent disclaimers and warnings 72 -* **Audit rate**: Recommendation: 30-50% 60 +Automation increases with maturity. 73 73 74 -=== Tier B (Medium Risk) === 75 -* **Domains**: Complex policy, science, causality claims 76 -* **Automation**: AI can draft and publish (Mode 2) 77 -* **Human review**: Optional, audit-based 78 -* **Audit rate**: Recommendation: 10-20% 62 +== POC (Low Automation) == 79 79 80 -=== Tier C (Low Risk) === 81 -* **Domains**: Definitions, established facts, historical data 82 -* **Automation**: AI publication default 83 -* **Human review**: On request or via sampling 84 -* **Audit rate**: Recommendation: 5-10% 64 +=== Automated === 85 85 86 ----- 66 +* Claim normalization 67 +* Light scenario templates 68 +* Evidence metadata extraction 69 +* Simple verdict drafts (internal only) 87 87 88 -== Human -OnlyTasks==71 +=== Human === 89 89 90 -These require human judgment and cannot be automated: 73 +* All scenario definitions 74 +* Evidence interpretation 75 +* Verdict creation 76 +* Governance 91 91 92 -* **Ethical boundary decisions** (especially medical, political, psychological harm assessment) 93 -* **Dispute resolution** between conflicting expert opinions 94 -* **Governance policy** setting and enforcement 95 -* **Final authority** on Tier A "Human-Reviewed" status 96 -* **Audit system oversight** and quality standard definition 97 -* **Risk tier policy** adjustments based on societal context 78 +== Beta 0 (Medium Automation) == 98 98 99 - ----80 +=== Automated === 100 100 101 -== AI-Draft with Audit (Semi-Automated) == 82 +* Detailed scenario drafts 83 +* Evidence reliability scoring 84 +* Cross-scenario comparisons 85 +* Contradiction detection (local + remote nodes) 86 +* Internal Truth Landscape drafts 102 102 103 - AKELdrafts these; humansvalidate via sampling audits:88 +=== Human === 104 104 105 -* **Scenario structures** (definitions, assumptions, context) 106 -* **Evaluation methods** and reasoning chains 107 -* **Evidence relevance** assessment and ranking 108 -* **Reliability scoring** and source evaluation 109 -* **Verdict reasoning** with uncertainty quantification 110 -* **Contradiction and reservation** identification 111 -* **Scenario comparison** explanations 112 -* **Public summaries** and accessibility text 90 +* Scenario approval 91 +* Final verdict validation 113 113 114 -Most Tier B and C content remains in AI-draft status unless: 115 -* Users request human review 116 -* Audits identify errors 117 -* High engagement triggers review 118 -* Community flags issues 93 +== Release 1.0 (High Automation) == 119 119 120 - ----95 +=== Automated === 121 121 122 -== Fully Automated Structural Tasks == 97 +* Full scenario generation (definitions, assumptions, boundaries) 98 +* Evidence relevance scoring and ranking 99 +* Bayesian verdict scoring across scenario sets 100 +* Multi-scenario summary generation 101 +* Anomaly detection across nodes 102 +* AKEL-assisted federated synchronization 123 123 124 - Theserequire no humaninterpretation:104 +=== Human === 125 125 126 -* **Claim normalization** (canonical form generation) 127 -* **Duplicate detection** (vector embeddings, clustering) 128 -* **Evidence metadata extraction** (dates, authors, publication info) 129 -* **Basic reliability heuristics** (source reputation scoring) 130 -* **Contradiction detection** (conflicting statements across sources) 131 -* **Re-evaluation triggers** (new evidence, source updates) 132 -* **Layout generation** (diagrams, summaries, UI presentation) 133 -* **Federation integrity checks** (cross-node data validation) 106 +* Final approval of all scenarios and verdicts 107 +* Ethical decisions 108 +* Oversight and conflict resolution 134 134 135 135 ---- 136 136 137 -= =Quality Gates (Automated)==112 += Automation Levels = 138 138 139 - BeforeAI-draftpublication(Mode 2),content must pass:114 +== Level 0 — Human-Centric (POC) == 140 140 141 -1. **Source Quality Gate** 142 - * Primary sources verified 143 - * Citations complete and accessible 144 - * Source reliability scored 116 +AI is purely advisory, nothing auto-published. 145 145 146 -2. **Contradiction Search Gate** (MANDATORY) 147 - * Counter-evidence actively sought 148 - * Reservations and limitations identified 149 - * Bubble detection (echo chambers, conspiracy theories) 150 - * Diverse perspective verification 118 +== Level 1 — Assisted (Beta 0) == 151 151 152 -3. **Uncertainty Quantification Gate** 153 - * Confidence scores calculated 154 - * Limitations stated 155 - * Data gaps disclosed 120 +AI drafts structures; humans approve each part. 156 156 157 -4. **Structural Integrity Gate** 158 - * No hallucinations detected 159 - * Logic chain valid 160 - * References verifiable 122 +== Level 2 — Structured (Release 1.0) == 161 161 162 - See [[AKELpage>>FactHarbor.Specification.AIKnowledge Extraction Layer (AKEL).WebHome]] for detailedqualitygatespecifications.124 +AI produces near-complete drafts; humans refine. 163 163 164 - ----126 +== Level 3 — Distributed Intelligence (Future) == 165 165 166 -== Audit System == 128 +Nodes exchange embeddings, contradiction alerts, and scenario templates. 129 +Humans still approve everything. 167 167 168 -Instead of reviewing all AI output, systematic sampling audits ensure quality: 169 - 170 -=== Stratified Sampling === 171 -* Risk tier (A > B > C sampling rates) 172 -* Confidence scores (low confidence → more audits) 173 -* Traffic/engagement (popular content audited more) 174 -* Novelty (new topics/claim types prioritized) 175 -* User flags and disagreement signals 176 - 177 -=== Continuous Improvement Loop === 178 -Audit findings improve: 179 -* Query templates 180 -* Source reliability weights 181 -* Contradiction detection algorithms 182 -* Risk tier assignment rules 183 -* Bubble detection heuristics 184 - 185 -=== Transparency === 186 -* Audit statistics published 187 -* Accuracy rates by tier reported 188 -* System improvements documented 189 - 190 190 ---- 191 191 192 -= =AutomationRoadmap==133 += Automation Matrix = 193 193 194 - Automationcapabilities increasewith systemmaturity whilemaintainingquality oversight.135 +== Always Human == 195 195 196 -=== POC (Current Focus) === 137 +* Final verdict approval 138 +* Scenario validity 139 +* Ethical decisions 140 +* Dispute resolution 197 197 198 -**Automated:** 199 -* Claim normalization 200 -* Scenario template generation 201 -* Evidence metadata extraction 202 -* Simple verdict drafts 203 -* **AI-generated publication** (Mode 2, with quality gates) 204 -* **Contradiction search** 205 -* **Risk tier assignment** 142 +== Mostly AI (Human Validation Needed) == 206 206 207 -**Human:** 208 -* High-risk content validation (Tier A) 209 -* Sampling audits across all tiers 210 -* Quality standard refinement 211 -* Governance decisions 144 +* Claim normalization 145 +* Clustering 146 +* Evidence metadata 147 +* Reliability heuristics 148 +* Scenario drafts 149 +* Contradiction detection 212 212 213 -== =Beta 0 (EnhancedAutomation)===151 +== Mixed == 214 214 215 -**Automated:** 216 -* Detailed scenario generation 217 -* Advanced evidence reliability scoring 218 -* Cross-scenario comparisons 219 -* Multi-source contradiction detection 220 -* Internal Truth Landscape generation 221 -* **Increased AI-draft coverage** (more Tier B content) 153 +* Definitions of ambiguous terms 154 +* Boundary choices 155 +* Assumption evaluation 156 +* Evidence selection 157 +* Verdict reasoning 222 222 223 -**Human:** 224 -* Tier A final approval 225 -* Audit sampling (continued) 226 -* Expert validation of complex domains 227 -* Quality improvement oversight 228 - 229 -=== Release 1.0 (High Automation) === 230 - 231 -**Automated:** 232 -* Full scenario generation (comprehensive) 233 -* Bayesian verdict scoring across scenarios 234 -* Multi-scenario summary generation 235 -* Anomaly detection across federated nodes 236 -* AKEL-assisted cross-node synchronization 237 -* **Most Tier B and all Tier C** auto-published 238 - 239 -**Human:** 240 -* Tier A oversight (still required) 241 -* Strategic audits (lower sampling rates, higher value) 242 -* Ethical decisions and policy 243 -* Conflict resolution 244 - 245 245 ---- 246 246 247 -= =Automation LevelsDiagram ==161 += Diagram References = 248 248 249 -{{include reference="FactHarbor.Specification.Diagrams.Automation Level.WebHome"/}} 250 - 251 ----- 252 - 253 -== Automation Roadmap Diagram == 254 - 255 255 {{include reference="FactHarbor.Specification.Diagrams.Automation Roadmap.WebHome"/}} 256 256 257 - ----165 +{{include reference="FactHarbor.Archive.Diagrams v0\.8q.Automation Level.WebHome"/}} 258 258 259 -== Manual vs Automated Matrix == 260 - 261 261 {{include reference="FactHarbor.Specification.Diagrams.Manual vs Automated matrix.WebHome"/}} 262 - 263 ----- 264 - 265 -== Related Pages == 266 - 267 -* [[AKEL (AI Knowledge Extraction Layer)>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]] 268 -* [[Requirements (Roles)>>FactHarbor.Specification.Requirements.WebHome]] 269 -* [[Workflows>>FactHarbor.Specification.Workflows.WebHome]] 270 -* [[Governance>>FactHarbor.Organisation.Governance]] 271 -