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Changes for page FactHarbor 2026.02.08

Last modified by Robert Schaub on 2026/02/08 08:33
From version 5.1
edited by Robert Schaub
on 2026/02/03 18:11
Change comment: There is no comment for this version
To version 4.1
edited by Robert Schaub
on 2026/02/03 18:07
Change comment: There is no comment for this version

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46 46  At our core is a simple principle: reasoning must be as transparent as the result. Our rules for structuring claims and weighing evidence are documented in the open — designed to be reviewed, challenged, and improved by you. Trust comes not from authority, but from a process anyone can inspect.
47 47  
48 48  **AI’s Role**
49 -AI is the engine. It searches the web for evidence, extracts testable claims, assesses sources by track record, actively seeks contradicting evidence, and produces transparent verdicts with confidence scores. It works fast, at scale, and consistently — but always within the rules and policies humans define. Every step of its reasoning is documented and auditable.
49 +AI is the engine. It searches the web for evidence, extracts testable claims, assesses sources by track record, actively seeks contradicting evidence, and produces transparent verdicts with confidence scores. It works fast, at scale, and with consistency — but always within rules and policies that humans define. Every step of its reasoning is documented and auditable.
50 50  
51 51  **Human's Role**
52 -Humans are system architects, not content judges. They design and refine the rules, prompts, and policies that guide AI behavior — always with neutrality, fairness, and transparency as goals. When results fall short, humans improve the methodology itself, not individual outputs. Fix the system, not the data. This keeps the platform scalable, unbiased, and accountable.
52 +Humans are system architects, not content judges. They design and refine the rules, prompts, and policies that guide AI behavior — always with neutrality, fairness, and transparency as goals. When results fall short, humans improve the methodology itself, not individual outputs. Fix the system, not the data. This keeps fact-checking scalable, unbiased, and accountable.
53 53  
54 54  == How It Works: The Core Concepts ==
55 55