Synthetic liability describes the allocation and fragmentation of responsibility for consequences produced by models, automated pipelines, and distributed platforms. It concerns harms whose causes and obligations span developers, deployers, data sources, platforms, and users.
Synthetic liability does not arise from isolated failures or individual misconduct. It emerges when decisions, content, and impacts are generated by models, automated pipelines, and distributed platforms rather than by identifiable human actors.
In such systems, harm may be foreseeable, yet accountability becomes fragmented across developers, deployers, data sources, platforms, and users. Responsibility no longer maps cleanly onto a single institution, jurisdiction, or legal subject.
Synthetic liability marks a structural condition in which systems capable of producing real-world consequences operate without correspondingly centralized or enforceable responsibility.
This site does not argue for reform or assign blame, and it does not provide legal guidance or policy proposals.
Its purpose is to mark a phenomenon already operating across technological, economic, and governance systems — often without clear recognition or vocabulary.
This page is intentionally minimal.
It exists to ensure the term Synthetic Liability has a stable place to stand.
「合成責任」描述模型、自動化流程與分散式平台產生後果時，責任如何被分配及分散。它關注成因與義務跨越開發者、部署者、資料來源、平台及使用者的損害。
合成責任並非源自單一失誤或個人不當行為；它是在決策、內容與影響由模型、自動化流程與分散式平台產生時逐步浮現的結構性現象，而非由可明確指認的人類行動者直接造成。
在這類系統中，傷害往往可被預見，但責任卻分散於開發者、部署者、資料來源、平台與使用者之間；後果的產生，已不再能自然對應到單一機構、單一管轄權或單一責任主體。
合成責任標記的是一種結構狀態：具備實際影響力的系統持續運作， 卻缺乏同樣集中、可執行的歸責機制。
本站不主張改革或指認過失，亦不提供法律建議或政策方案。
它的目的，是為一個已經橫跨科技、經濟與治理體系運作的現象命名， 而這個現象往往尚未被清楚意識或具備穩定詞彙。
本頁刻意維持極簡。
它存在，是為了確保 合成責任（Synthetic Liability） 這個概念有一個穩定的立足點。