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Changes for page Automation

Last modified by Robert Schaub on 2025/12/24 20:34
From version 2.1
edited by Robert Schaub
on 2025/12/11 21:35
Change comment: Imported from XAR
To version 3.1
edited by Robert Schaub
on 2025/12/12 08:32
Change comment: Imported from XAR

Summary

Details

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Content
... ... @@ -9,11 +9,32 @@
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 +
12 12  ----
13 13  
14 -= Manual vs Automated Responsibilities =
35 +== Manual vs Automated Responsibilities ==
15 15  
16 -== Human-Only Tasks ==
37 +=== Human-Only Tasks ===
17 17  
18 18  These require human judgment, ethics, or contextual interpretation:
19 19  
... ... @@ -25,7 +25,7 @@
25 25  * High-risk domain oversight
26 26  * Ethical boundary decisions (especially medical, political, psychological)
27 27  
28 -== Semi-Automated (AI Draft → Human Review) ==
49 +=== Semi-Automated (AI Draft → Human Review) ===
29 29  
30 30  AKEL can draft these, but humans must refine/approve:
31 31  
... ... @@ -39,7 +39,7 @@
39 39  * Suggestions for merging or splitting scenarios
40 40  * Draft public summaries
41 41  
42 -== Fully Automated Structural Tasks ==
63 +=== Fully Automated Structural Tasks ===
43 43  
44 44  These require no human interpretation:
45 45  
... ... @@ -52,100 +52,37 @@
52 52  * Batch layout generation (diagrams, summaries)
53 53  * Federation integrity checks
54 54  
55 -----
76 +== Automation Roadmap ==
56 56  
57 -= Automation Roadmap =
58 -
59 59  Automation increases with maturity.
60 60  
61 -== POC (Low Automation) ==
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.
62 62  
63 -=== Automated ===
64 -* Claim normalization
65 -* Light scenario templates
66 -* Evidence metadata extraction
67 -* Simple verdict drafts (internal only)
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.
68 68  
69 -=== Human ===
70 -* All scenario definitions
71 -* Evidence interpretation
72 -* Verdict creation
73 -* Governance
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.
74 74  
75 -== Beta 0 (Medium Automation) ==
92 +== Automation Levels ==
76 76  
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
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.
83 83  
84 -=== Human ===
85 -* Scenario approval
86 -* Final verdict validation
99 +== Automation Matrix ==
87 87  
88 -== Release 1.0 (High Automation) ==
101 +* **Always Human**: Final verdict, Scenario validity, Ethics, Disputes.
102 +* **Mostly AI**: Normalization, Clustering, Metadata, Heuristics, Alerts.
103 +* **Mixed**: Definitions, Boundaries, Assumptions, Reasoning.
89 89  
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
105 +== Diagram References ==
97 97  
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 -
149 149  {{include reference="FactHarbor.Specification.Diagrams.Automation Roadmap.WebHome"/}}
150 150  
151 151  {{include reference="FactHarbor.Specification.Diagrams.Automation Level.WebHome"/}}