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Last modified by Robert Schaub on 2025/12/24 20:33
From version 1.1
edited by Robert Schaub
on 2025/12/14 22:27
Change comment: Imported from XAR
To version 3.1
edited by Robert Schaub
on 2025/12/15 16:56
Change comment: Imported from XAR

Summary

Details

Page properties
Content
... ... @@ -6,23 +6,70 @@
6 6  
7 7  == How do facts get input into the system? ==
8 8  
9 -FactHarbor uses a hybrid model:
9 +FactHarbor uses a hybrid model combining three complementary approaches:
10 10  
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.
11 +=== 1. AI-Generated Content (Scalable) ===
12 12  
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.
13 +**What**: System dynamically researches claims using AKEL (AI Knowledge Extraction Layer)
14 14  
15 -**3. Audit-Improved (continuous quality)**: Sampling audits (30-50% high-risk, 5-10% low-risk) where expert reviews systematically improve AI research quality.
15 +**Process**:
16 +* Extracts claims from submitted text
17 +* Generates structured sub-queries
18 +* Performs **mandatory contradiction search** (actively seeks counter-evidence, not just confirmations)
19 +* Runs automated quality gates
20 +* Publishes with clear "AI-Generated" labels
16 16  
17 -**Why both matter**:
18 -* AI research handles scale—emerging claims, immediate responses with transparent reasoning
19 -* Expert authoring provides authoritative grounding for critical domains
20 -* Audit feedback ensures AI quality improves based on expert validation patterns
22 +**Publication**: Mode 2 (public, AI-labeled) when quality gates pass
21 21  
22 -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.
24 +**Purpose**: Handles scale — emerging claims get immediate responses with transparent reasoning
23 23  
24 -POC v1 demonstrates the AI research pipeline (fully automated with transparent reasoning); full system supports all three pathways.
26 +=== 2. Expert-Authored Content (Authoritative) ===
25 25  
28 +**What**: Domain experts directly author, edit, and validate content
29 +
30 +**Focus**: High-risk domains (medical, legal, safety-critical)
31 +
32 +**Publication**: Mode 3 ("Human-Reviewed" status) with expert attribution
33 +
34 +**Authority**: Tier A content requires expert approval
35 +
36 +**Purpose**: Provides authoritative grounding for critical domains where errors have serious consequences
37 +
38 +=== 3. Audit-Improved Quality (Continuous) ===
39 +
40 +**What**: Sampling audits where experts review AI-generated content
41 +
42 +**Rates**:
43 +* High-risk (Tier A): 30-50% sampling
44 +* Medium-risk (Tier B): 10-20% sampling
45 +* Low-risk (Tier C): 5-10% sampling
46 +
47 +**Impact**: Expert feedback systematically improves AI research quality
48 +
49 +**Purpose**: Ensures AI quality evolves based on expert validation patterns
50 +
51 +=== Why All Three Matter ===
52 +
53 +**Complementary Strengths**:
54 +* **AI research**: Scale and speed for emerging claims
55 +* **Expert authoring**: Authority and precision for critical domains
56 +* **Audit feedback**: Continuous quality improvement
57 +
58 +**Expert Time Optimization**:
59 +
60 +Experts can choose where to focus their time:
61 +* Author high-priority content directly
62 +* Validate and edit AI-generated outputs
63 +* Audit samples to improve system-wide AI performance
64 +
65 +This focuses expert time where domain expertise matters most while leveraging AI for scale.
66 +
67 +=== Current Status ===
68 +
69 +**POC v1**: Demonstrates the AI research pipeline (fully automated with transparent reasoning and quality gates)
70 +
71 +**Full System**: Will support all three pathways with integrated workflow
72 +
26 26  ----
27 27  
28 28  == What prevents FactHarbor from becoming another echo chamber? ==
... ... @@ -330,5 +330,5 @@
330 330  * [[AKEL (AI Knowledge Extraction Layer)>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
331 331  * [[Automation>>FactHarbor.Specification.Automation.WebHome]]
332 332  * [[Federation & Decentralization>>FactHarbor.Specification.Federation & Decentralization.WebHome]]
333 -* [[Mission & Purpose>>FactHarbor.Organisation.Mission & Purpose.WebHome]]
380 +* [[Mission & Purpose>>FactHarbor.Organisation.Core Problems FactHarbor Solves.WebHome]]
334 334