EU AI Act · Article 50 · Regulation (EU) 2024/1689
The label states a conclusion. Who keeps the evidence?
From August 2, 2026, Article 50 of the EU AI Act introduces transparency obligations for providers and deployers of certain AI systems. Depending on the system and use case, these can include informing people they are interacting with AI, adding machine-readable markings to AI-generated or manipulated content, and disclosing certain deepfakes or AI-generated public-interest text. A limited transition until December 2, 2026 applies only to the marking and detection obligation under Article 50(2) for certain systems already on the market before August 2.
A label communicates a conclusion. An audit trail preserves the evidence behind it.
After content is exported, emailed, uploaded, converted, and compressed by a platform, the visible label may survive. The supporting evidence often does not. An organization may no longer be able to show which source asset was used, what the AI changed, which person substantively reviewed which version, or whether the evidence can still be inspected by a third party.
The one-asset test
Take one real AI-assisted asset and follow it through your existing workflow. It should preserve five elements:
Content identity
A durable reference that distinguishes the asset from earlier drafts, copies, and derivatives.
AI-use decision
A record of whether AI was used and which disclosure or labelling decision was made.
Provenance or machine-readable evidence
Inspectable information for a verifier, not only a screenshot or a written claim.
Accountable reviewer
The responsible reviewer and reviewed version remain identifiable.
Downstream verification
The evidence remains accessible after export, publication, transfer, or archiving.
Not a compliance badge. The record layer behind the label.
Numbers Protocol does not automatically make an AI system compliant. It supports the evidence layer: Numbers ID (NID) for persistent references, C2PA-compatible provenance that travels with content, and Capture SDK, ProofSnap, and Capture Cam for inspectable receipts in product, platform, and AI-agent workflows.
Review your Article 50 workflow with Numbers Protocol
Legal sources: European Commission FAQ on Article 50; Regulation (EU) 2024/1689. This page is provided for general informational purposes and does not constitute legal or compliance advice.
EU AI Act · 第 50 條 · Regulation (EU) 2024/1689
標籤說明了結論。誰保存了證據？
2026 年 8 月 2 日起，EU AI Act 第 50 條針對特定 AI 系統的提供者與部署者引入透明度義務，依情境可能包括：告知使用者正在與 AI 互動、為 AI 生成或操縱的內容加上機器可讀標記，以及揭露特定深偽內容或 AI 生成的公共利益文字。至 2026 年 12 月 2 日的有限過渡期，僅適用於 8 月 2 日前已投放市場之特定系統在第 50(2) 條下的標記與偵測義務。
標籤傳達一個結論。稽核紀錄保存結論背後的證據。
內容經過匯出、寄送、上傳、轉檔與平台壓縮後，可見的標籤也許還在，但支持它的證據往往已經不見。組織可能無法再證明使用了哪個來源素材、AI 修改了什麼、哪位審核者實質審核了哪個版本，以及第三方是否仍能檢驗證據。
一資產測試
挑一件真實的 AI 協作資產，走一遍現有流程，並保留五個要素：內容識別、AI 使用決定、出處或機器可讀證據、可歸責的審核者、下游可驗證。任何一項在第一次交接就消失，流程就是脆弱的。
不是合規徽章，是標籤背後的紀錄層。
Numbers Protocol 不會自動讓 AI 系統合規。它支援證據層：Numbers ID (NID) 提供持久參照、C2PA 相容的出處紀錄隨內容移動，以及 Capture SDK、ProofSnap 與 Capture Cam 為工作流程留下可檢驗的收據。
與 Numbers Protocol 檢視你的 Article 50 工作流程
法規依據：歐盟執委會第 50 條 FAQ；Regulation (EU) 2024/1689。本頁僅供一般資訊參考，不構成法律或合規意見。