Implementation of Generative Artificial Intelligence Disclosure Protocols within Google Advertising Ecosystems.
在 Google 廣告生態系統中實施生成式人工智慧揭露協定
Introduction
Google has introduced a mechanism to notify users when advertisements have been synthesized or modified via artificial intelligence.
Google 推出了一項機制，用於在廣告經由人工智慧合成或修改時通知使用者。
Main Body
The integration of generative AI in commercial advertising facilitates the reduction of expenditures associated with physical product photography and the diversification of visual contexts. However, the potential for consumer disorientation regarding the authenticity of product imagery necessitates a standardized disclosure framework. Previously, the requirement for the identification of synthetic or digitally altered content was restricted to political advertisements; this mandate has now been extended to general commercial content across Google Search, YouTube, and Google Discover.
在商業廣告中整合生成式 AI 有助於減少與實體產品拍攝相關的支出，並使視覺場景更多樣化。然而，消費者可能會對產品影像的真實性產生誤導，因此需要一個標準化的揭露框架。此前，識別合成或數位修改內容的要求僅限於政治廣告；而現在此項要求已擴展至 Google 搜尋、YouTube 及 Google Discover 的一般商業內容。
Access to these disclosures is facilitated through the 'My Ad Center' interface, accessible via the information icon or the three-dot menu. Within this panel, the 'how this ad was made' section specifies whether AI was utilized in the production or editing of the asset. Regarding the mechanism of attribution, Google will automatically apply these labels to content generated via its proprietary AI tools. Conversely, for assets produced through external platforms, the responsibility for disclosure resides with the advertiser, as Google will not conduct independent verification of the content's origin. Furthermore, in specific jurisdictions, these labels may be displayed directly on the advertisement to ensure compliance with local statutory requirements.
使用者可透過「我的廣告中心」介面，經由資訊圖標或三點選單查看這些揭露資訊。在該面板中，「此廣告如何製作」部分會說明在素材的製作或編輯過程中是否使用了 AI。關於歸屬機制，對於使用 Google 專有 AI 工具生成的內容，Google 將自動套用這些標籤。相反地，對於透過外部平台製作的素材，揭露責任由廣告主承擔，因為 Google 不會對內容來源進行獨立驗證。此外，在特定司法管轄區，這些標籤可能會直接顯示在廣告上，以確保符合當地法定要求。
This strategic shift aligns Google with broader industry trends, mirroring the 'AI info' labels employed by Meta. The initiative is further augmented by the expansion of SynthID and C2PA content labels, which are designed to facilitate the detection of deepfake media.
這一策略轉移使 Google 與更廣泛的產業趨勢保持一致，呼應了 Meta 所採用的「AI 資訊」標籤。此舉透過擴展 SynthID 與 C2PA 內容標籤而得到進一步強化，旨在提升對深偽（deepfake）媒體的偵測能力。
Conclusion
Google has expanded its AI disclosure requirements to all advertisements, utilizing a combination of automated and manual labeling systems.
Google 已將其 AI 揭露要求擴展至所有廣告，結合了自動與手動標記系統。
Vocabulary Learning
⚡ The Architecture of Nominalization and Precision
To migrate from B2 (functional fluency) to C2 (academic/professional mastery), one must pivot from verb-centric descriptions to noun-centric conceptualization. The provided text is a masterclass in Nominalization—the process of turning verbs or adjectives into nouns to increase density and objectivity.
🔍 The Linguistic Shift
Compare these two versions of the same concept:
- B2 Style: "Google wants to stop users from being confused about whether a product image is real or not, so they made a system for disclosure."
- C2 Style: "The potential for consumer disorientation regarding the authenticity of product imagery necessitates a standardized disclosure framework."
In the C2 version, the action (confusing the user) becomes a concept (consumer disorientation). This allows the writer to manipulate the sentence structure with surgical precision.
🛠️ Deconstructing the 'C2 Power-Phrases'
| Nominalized Phrase | Source Verb/Adj | C2 Function |
|---|---|---|
| The integration of generative AI | To integrate | Transforms a process into a subject for analysis. |
| The diversification of visual contexts | To diversify | Elevates a simple action to a strategic objective. |
| Independent verification | To verify independently | Replaces a phrase with a compound noun for formal weight. |
| Local statutory requirements | Being required by law | Shifts from a description to a legal category. |
🎓 Masterclass Insight: The 'Necessitates' Pivot
Notice the usage of "necessitates." A B2 student would likely use "means that... is needed" or "requires."
By using necessitates, the author links a noun phrase (the potential for disorientation) directly to another noun phrase (a standardized disclosure framework). This creates a logical bridge that feels inevitable and authoritative, rather than merely descriptive. This is the hallmark of high-level academic and corporate discourse: removing the human agent to emphasize the systemic necessity.