Skip to Content

Changes for page FAQ

Last modified by Robert Schaub on 2025/12/24 20:33
From version 2.1
edited by Robert Schaub
on 2025/12/14 23:02
Change comment: There is no comment for this version
To version 3.3
edited by Robert Schaub
on 2025/12/16 21:39
Change comment: Renamed back-links.

Summary

Details

Page properties
Content
... ... @@ -6,24 +6,74 @@
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 16  
17 -**Why both matter**:
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
18 18  
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
23 +**Publication**: Mode 2 (public, AI-labeled) when quality gates pass
22 22  
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.
25 +**Purpose**: Handles scale — emerging claims get immediate responses with transparent reasoning
24 24  
25 -POC v1 demonstrates the AI research pipeline (fully automated with transparent reasoning); full system supports all three pathways.
27 +=== 2. Expert-Authored Content (Authoritative) ===
26 26  
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 +
27 27  ----
28 28  
29 29  == What prevents FactHarbor from becoming another echo chamber? ==
... ... @@ -368,7 +368,7 @@
368 368  == Related Pages ==
369 369  
370 370  * [[Requirements (Roles)>>FactHarbor.Specification.Requirements.WebHome]]
371 -* [[AKEL (AI Knowledge Extraction Layer)>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
421 +* [[AKEL (AI Knowledge Extraction Layer)>>FactHarbor.Specification V0\.9\.18.AI Knowledge Extraction Layer (AKEL).WebHome]]
372 372  * [[Automation>>FactHarbor.Specification.Automation.WebHome]]
373 373  * [[Federation & Decentralization>>FactHarbor.Specification.Federation & Decentralization.WebHome]]
374 -* [[Mission & Purpose>>FactHarbor.Organisation.Mission & Purpose.WebHome]]
424 +* [[Mission & Purpose>>FactHarbor.Organisation V0\.9\.18.Core Problems FactHarbor Solves.WebHome]]