Project Detail / 專案詳頁

沈耀語意防火牆 vπ10
Shen-Yao Semantic Firewall vπ10

一個掛在 LLM 前面的治理層展示包,把法律、責任與審計紀錄帶回對話入口。

A governance-layer showcase placed in front of LLMs, bringing law, responsibility, and audit visibility back to the conversation entry point.

為什麼做這個專案 / Why this project exists

當 LLM 被放進真實工作流後,問題不只是模型能不能回答,而是回答是否符合治理邏輯、法律限制、責任宣告與可審計要求。vπ10 針對這個缺口,提供一個能展示治理層概念的入口。

When LLMs are placed inside real workflows, the question is no longer just whether they can answer, but whether those answers satisfy governance logic, legal constraints, responsibility declaration, and auditability. vπ10 is built to demonstrate that layer.

核心方法 / 核心判準 / Core methods and criteria

  • Governance layer in front of LLMs:在模型前方先建立規則與判準,而不是事後補救。 / Establish rules and qualification criteria before the model responds, not only after the fact.
  • Safety locks:限制高風險互動與不合格輸入直接進入對話鏈。 / Restrict high-risk interactions and disqualified inputs from entering the conversation chain directly.
  • Legal rules:把法律與治理條件納入使用前宣告與流程控制。 / Put legal and governance constraints into pre-use declarations and flow control.
  • Auditable logs:讓決策、代理與回應能留下可審核紀錄。 / Leave auditable records for decisions, proxy actions, and responses.
  • Trial-audit / proxy-chat:展示代理式對話與審計試跑的介面概念。 / Demonstrate proxy-style dialogue and trial-audit interface concepts.
  • Semantic responsibility and law declaration:強化責任鏈、治理聲明與法律宣告可見性。 / Strengthen visibility of responsibility chains, governance declarations, and legal statements.

適用場景 / Use cases

適合 AI governance 展示、法遵 / 風控討論、LLM 前置治理概念驗證、代理聊天設計、審計流程說明與對外合作簡報使用。

Suitable for AI governance demonstrations, compliance and risk-control discussions, LLM pre-governance concept validation, proxy-chat design, audit-flow explanation, and external collaboration presentation.