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Changes for page Automation

Last modified by Robert Schaub on 2025/12/24 20:34
From version 3.1
edited by Robert Schaub
on 2025/12/12 08:32
Change comment: Imported from XAR
To version 1.1
edited by Robert Schaub
on 2025/12/11 16:36
Change comment: Imported from XAR

Summary

Details

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Content
... ... @@ -9,32 +9,11 @@
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") ==
13 -
14 -The goal of POC v1 is to validate the automated reasoning capabilities of the data model without human intervention.
15 -
16 -=== Workflow ===
17 -
18 -1. **Input**: User pastes a block of raw text.
19 -2. **Deep Analysis (Background)**: The system autonomously performs the full pipeline **before** displaying the text:
20 -** Extraction & Normalisation
21 -** Scenario & Sub-query generation
22 -** Evidence retrieval & Verdict computation
23 -3. **Visualisation (Extraction & Marking)**: The system displays the text with claims extracted and marked.
24 -** **Verdict-Based Coloring**: The extraction highlights (e.g. Orange/Green) are chosen **according to the computed verdict** for each claim.
25 -4. **Inspection**: User clicks a highlighted claim to see the **Reasoning Trail**, showing exactly which evidence and sub-queries led to that verdict.
26 -
27 -=== Technical Scope ===
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.
32 -
33 33  ----
34 34  
35 -== Manual vs Automated Responsibilities ==
14 += Manual vs Automated Responsibilities =
36 36  
37 -=== Human-Only Tasks ===
16 +== Human-Only Tasks ==
38 38  
39 39  These require human judgment, ethics, or contextual interpretation:
40 40  
... ... @@ -46,7 +46,7 @@
46 46  * High-risk domain oversight
47 47  * Ethical boundary decisions (especially medical, political, psychological)
48 48  
49 -=== Semi-Automated (AI Draft → Human Review) ===
28 +== Semi-Automated (AI Draft → Human Review) ==
50 50  
51 51  AKEL can draft these, but humans must refine/approve:
52 52  
... ... @@ -60,7 +60,7 @@
60 60  * Suggestions for merging or splitting scenarios
61 61  * Draft public summaries
62 62  
63 -=== Fully Automated Structural Tasks ===
42 +== Fully Automated Structural Tasks ==
64 64  
65 65  These require no human interpretation:
66 66  
... ... @@ -73,37 +73,100 @@
73 73  * Batch layout generation (diagrams, summaries)
74 74  * Federation integrity checks
75 75  
76 -== Automation Roadmap ==
55 +----
77 77  
57 += Automation Roadmap =
58 +
78 78  Automation increases with maturity.
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.
61 +== POC (Low 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.
63 +=== Automated ===
64 +* Claim normalization
65 +* Light scenario templates
66 +* Evidence metadata extraction
67 +* Simple verdict drafts (internal only)
87 87  
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.
69 +=== Human ===
70 +* All scenario definitions
71 +* Evidence interpretation
72 +* Verdict creation
73 +* Governance
91 91  
92 -== Automation Levels ==
75 +== Beta 0 (Medium Automation) ==
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.
77 +=== Automated ===
78 +* Detailed scenario drafts
79 +* Evidence reliability scoring
80 +* Cross-scenario comparisons
81 +* Contradiction detection (local + remote nodes)
82 +* Internal Truth Landscape drafts
98 98  
99 -== Automation Matrix ==
84 +=== Human ===
85 +* Scenario approval
86 +* Final verdict validation
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.
88 +== Release 1.0 (High Automation) ==
104 104  
105 -== Diagram References ==
90 +=== Automated ===
91 +* Full scenario generation (definitions, assumptions, boundaries)
92 +* Evidence relevance scoring and ranking
93 +* Bayesian verdict scoring across scenario sets
94 +* Multi-scenario summary generation
95 +* Anomaly detection across nodes
96 +* AKEL-assisted federated synchronization
106 106  
98 +=== Human ===
99 +* Final approval of all scenarios and verdicts
100 +* Ethical decisions
101 +* Oversight and conflict resolution
102 +
103 +----
104 +
105 += Automation Levels =
106 +
107 +== Level 0 — Human-Centric (POC) ==
108 +AI is purely advisory, nothing auto-published.
109 +
110 +== Level 1 — Assisted (Beta 0) ==
111 +AI drafts structures; humans approve each part.
112 +
113 +== Level 2 — Structured (Release 1.0) ==
114 +AI produces near-complete drafts; humans refine.
115 +
116 +== Level 3 — Distributed Intelligence (Future) ==
117 +Nodes exchange embeddings, contradiction alerts, and scenario templates.
118 +Humans still approve everything.
119 +
120 +----
121 +
122 += Automation Matrix =
123 +
124 +== Always Human ==
125 +* Final verdict approval
126 +* Scenario validity
127 +* Ethical decisions
128 +* Dispute resolution
129 +
130 +== Mostly AI (Human Validation Needed) ==
131 +* Claim normalization
132 +* Clustering
133 +* Evidence metadata
134 +* Reliability heuristics
135 +* Scenario drafts
136 +* Contradiction detection
137 +
138 +== Mixed ==
139 +* Definitions of ambiguous terms
140 +* Boundary choices
141 +* Assumption evaluation
142 +* Evidence selection
143 +* Verdict reasoning
144 +
145 +----
146 +
147 += Diagram References =
148 +
107 107  {{include reference="FactHarbor.Specification.Diagrams.Automation Roadmap.WebHome"/}}
108 108  
109 109  {{include reference="FactHarbor.Specification.Diagrams.Automation Level.WebHome"/}}