Skip to Content

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 1.3
edited by Robert Schaub
on 2025/12/11 21:34
Change comment: Renamed back-links.

Summary

Details

Page properties
Content
... ... @@ -4,37 +4,17 @@
4 4  All automated outputs require human review before publication.
5 5  
6 6  This chapter defines:
7 +
7 7  * What must remain human-only
8 8  * What AI (AKEL) can draft
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 ==
15 += Manual vs Automated Responsibilities =
36 36  
37 -=== Human-Only Tasks ===
17 +== 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) ===
29 +== 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 ===
43 +== Fully Automated Structural Tasks ==
64 64  
65 65  These require no human interpretation:
66 66  
... ... @@ -73,39 +73,115 @@
73 73  * Batch layout generation (diagrams, summaries)
74 74  * Federation integrity checks
75 75  
76 -== Automation Roadmap ==
56 +----
77 77  
58 += Automation Roadmap =
59 +
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.
62 +== 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.
64 +=== Automated ===
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.
66 +* Claim normalization
67 +* Light scenario templates
68 +* Evidence metadata extraction
69 +* Simple verdict drafts (internal only)
91 91  
92 -== Automation Levels ==
71 +=== Human ===
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.
73 +* All scenario definitions
74 +* Evidence interpretation
75 +* Verdict creation
76 +* Governance
98 98  
99 -== Automation Matrix ==
78 +== Beta 0 (Medium Automation) ==
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.
80 +=== Automated ===
104 104  
105 -== Diagram References ==
82 +* Detailed scenario drafts
83 +* Evidence reliability scoring
84 +* Cross-scenario comparisons
85 +* Contradiction detection (local + remote nodes)
86 +* Internal Truth Landscape drafts
106 106  
107 -{{include reference="FactHarbor.Specification.Diagrams.Automation Roadmap.WebHome"/}}
88 +=== Human ===
108 108  
109 -{{include reference="FactHarbor.Specification.Diagrams.Automation Level.WebHome"/}}
90 +* Scenario approval
91 +* Final verdict validation
110 110  
93 +== Release 1.0 (High Automation) ==
94 +
95 +=== Automated ===
96 +
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
103 +
104 +=== Human ===
105 +
106 +* Final approval of all scenarios and verdicts
107 +* Ethical decisions
108 +* Oversight and conflict resolution
109 +
110 +----
111 +
112 += Automation Levels =
113 +
114 +== Level 0 — Human-Centric (POC) ==
115 +
116 +AI is purely advisory, nothing auto-published.
117 +
118 +== Level 1 — Assisted (Beta 0) ==
119 +
120 +AI drafts structures; humans approve each part.
121 +
122 +== Level 2 — Structured (Release 1.0) ==
123 +
124 +AI produces near-complete drafts; humans refine.
125 +
126 +== Level 3 — Distributed Intelligence (Future) ==
127 +
128 +Nodes exchange embeddings, contradiction alerts, and scenario templates.
129 +Humans still approve everything.
130 +
131 +----
132 +
133 += Automation Matrix =
134 +
135 +== Always Human ==
136 +
137 +* Final verdict approval
138 +* Scenario validity
139 +* Ethical decisions
140 +* Dispute resolution
141 +
142 +== Mostly AI (Human Validation Needed) ==
143 +
144 +* Claim normalization
145 +* Clustering
146 +* Evidence metadata
147 +* Reliability heuristics
148 +* Scenario drafts
149 +* Contradiction detection
150 +
151 +== Mixed ==
152 +
153 +* Definitions of ambiguous terms
154 +* Boundary choices
155 +* Assumption evaluation
156 +* Evidence selection
157 +* Verdict reasoning
158 +
159 +----
160 +
161 += Diagram References =
162 +
163 +{{include reference="FactHarbor.Archive.Diagrams v0\.8q.Automation Roadmap.WebHome"/}}
164 +
165 +{{include reference="FactHarbor.Archive.Diagrams v0\.8q.Automation Level.WebHome"/}}
166 +
111 111  {{include reference="FactHarbor.Specification.Diagrams.Manual vs Automated matrix.WebHome"/}}