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Last modified by Robert Schaub on 2025/12/24 20:33
From version 3.2
edited by Robert Schaub
on 2025/12/16 21:39
Change comment: Renamed back-links.
To version 2.1
edited by Robert Schaub
on 2025/12/14 23:02
Change comment: There is no comment for this version

Summary

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6 6  
7 7  == How do facts get input into the system? ==
8 8  
9 -FactHarbor uses a hybrid model combining three complementary approaches:
9 +FactHarbor uses a hybrid model:
10 10  
11 -=== 1. AI-Generated Content (Scalable) ===
11 +**~1. **AI-Generated (scalable)**: System dynamically researches claims—extracting, generating structured sub-queries, performing mandatory contradiction search (actively seeking counter-evidence, not just confirmations), running quality gates. Published with clear "AI-Generated" labels.**
12 12  
13 -**What**: System dynamically researches claims using AKEL (AI Knowledge Extraction Layer)
13 +**2. Expert-Authored (authoritative)**: Domain experts directly author, edit, and validate content—especially for high-risk domains (medical, legal). These get "Human-Reviewed" status and higher trust.
14 14  
15 -**Process**:
15 +**3. Audit-Improved (continuous quality)**: Sampling audits (30-50% high-risk, 5-10% low-risk) where expert reviews systematically improve AI research quality.
16 16  
17 -* Extracts claims from submitted text
18 -* Generates structured sub-queries
19 -* Performs **mandatory contradiction search** (actively seeks counter-evidence, not just confirmations)
20 -* Runs automated quality gates
21 -* Publishes with clear "AI-Generated" labels
17 +**Why both matter**:
22 22  
23 -**Publication**: Mode 2 (public, AI-labeled) when quality gates pass
19 +* AI research handles scale—emerging claims, immediate responses with transparent reasoning
20 +* Expert authoring provides authoritative grounding for critical domains
21 +* Audit feedback ensures AI quality improves based on expert validation patterns
24 24  
25 -**Purpose**: Handles scale — emerging claims get immediate responses with transparent reasoning
23 +Experts can author high-priority content directly, validate/edit AI outputs, or audit samples to improve system-wide performance—focusing their time where expertise matters most.
26 26  
27 -=== 2. Expert-Authored Content (Authoritative) ===
25 +POC v1 demonstrates the AI research pipeline (fully automated with transparent reasoning); full system supports all three pathways.
28 28  
29 -**What**: Domain experts directly author, edit, and validate content
30 -
31 -**Focus**: High-risk domains (medical, legal, safety-critical)
32 -
33 -**Publication**: Mode 3 ("Human-Reviewed" status) with expert attribution
34 -
35 -**Authority**: Tier A content requires expert approval
36 -
37 -**Purpose**: Provides authoritative grounding for critical domains where errors have serious consequences
38 -
39 -=== 3. Audit-Improved Quality (Continuous) ===
40 -
41 -**What**: Sampling audits where experts review AI-generated content
42 -
43 -**Rates**:
44 -
45 -* High-risk (Tier A): 30-50% sampling
46 -* Medium-risk (Tier B): 10-20% sampling
47 -* Low-risk (Tier C): 5-10% sampling
48 -
49 -**Impact**: Expert feedback systematically improves AI research quality
50 -
51 -**Purpose**: Ensures AI quality evolves based on expert validation patterns
52 -
53 -=== Why All Three Matter ===
54 -
55 -**Complementary Strengths**:
56 -
57 -* **AI research**: Scale and speed for emerging claims
58 -* **Expert authoring**: Authority and precision for critical domains
59 -* **Audit feedback**: Continuous quality improvement
60 -
61 -**Expert Time Optimization**:
62 -
63 -Experts can choose where to focus their time:
64 -
65 -* Author high-priority content directly
66 -* Validate and edit AI-generated outputs
67 -* Audit samples to improve system-wide AI performance
68 -
69 -This focuses expert time where domain expertise matters most while leveraging AI for scale.
70 -
71 -=== Current Status ===
72 -
73 -**POC v1**: Demonstrates the AI research pipeline (fully automated with transparent reasoning and quality gates)
74 -
75 -**Full System**: Will support all three pathways with integrated workflow
76 -
77 77  ----
78 78  
79 79  == What prevents FactHarbor from becoming another echo chamber? ==
... ... @@ -421,4 +421,4 @@
421 421  * [[AKEL (AI Knowledge Extraction Layer)>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
422 422  * [[Automation>>FactHarbor.Specification.Automation.WebHome]]
423 423  * [[Federation & Decentralization>>FactHarbor.Specification.Federation & Decentralization.WebHome]]
424 -* [[Mission & Purpose>>FactHarbor.Organisation V0\.9\.18.Core Problems FactHarbor Solves.WebHome]]
374 +* [[Mission & Purpose>>FactHarbor.Organisation.Mission & Purpose.WebHome]]