AI安全責任鏈缺口與可審計問責框架 AI Safety Accountability Gap and Auditable Responsibility Framework
這不是官方背書，也不是單純截圖，而是一段可公開回放的 Claude 對話紀錄。
我將自己設計的 SCBKR + Replay 框架放進 Claude 視窗，要求它用 Subject、Causality、Boundary、Knowledge、Responsibility、Replay 六軸，自檢 AI 安全責任鏈是否真正閉合。
結論很清楚：現有 AI 安全仍偏向「政策聲明層」，不等於真正可審計的問責體系。若缺少 SCBKR、WIF、Hash Replay、WORM Log、Audit Anchor 這類責任鏈機制，AI 公司可以定義邊界，卻難以讓外部驗證邊界；可以記錄輸出，卻難以追溯責任。
This is not an official endorsement, and it is not just a screenshot. It is a publicly replayable Claude conversation record.
I placed my SCBKR + Replay framework into a Claude session and asked it to examine whether AI safety accountability chains are truly closed across six axes: Subject, Causality, Boundary, Knowledge, Responsibility, and Replay.
The conclusion is clear: current AI safety still operates largely at the level of policy declaration, not as a fully auditable accountability system. Without mechanisms such as SCBKR, WIF, Hash Replay, WORM Log, and Audit Anchor, AI companies may define boundaries, but external parties cannot fully verify them; outputs may be logged, but responsibility remains difficult to trace.
官網 / Official Website:
https://hijo790401.github.io/shen-yao-portal/
Claude 公開回放 / Public Claude Replay:
https://claude.ai/share/12684903-0539-4570-810c-4b97f08ff4e9
許文耀／沈耀888π
Wen-Yao Hsu / Shen Yao 888π Founder of Semantic Firewall｜Taiwan, Taichung
#AIgovernance #AISafety #Accountability #SemanticFirewall #TechPolicy
