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Google Will Tell Users When AI Was Used To Create Ads

Google is introducing a new consumer-facing feature designed to help users identify when an ad has been created or altered using artificial intelligence.

The update reflects AI’s growing role in digital advertising, where marketers increasingly use the technology to generate creative assets, stage products in different environments and reduce the cost of traditional e-commerce photography. As those capabilities expand, so do concerns about transparency, particularly when consumers cannot easily distinguish between authentic and AI-generated product images.

Bringing More Transparency To Ad Disclosures

Google has long prohibited deceptive advertising, but until now, disclosure requirements for AI-generated or AI-edited content were largely limited to election ads. The company is now extending that transparency to mainstream consumer advertising through its My Ad Center panel, which is accessible globally from the three-dot menu or information icon on ads shown in Google Search, YouTube and Google Discover.

The panel already gives users the ability to block or report ads, understand why they are seeing a particular promotion, and learn more about the advertiser. With the new update, users will also see a section labeled “How this ad was made,” which will reveal whether AI played a role in producing the creative.

What Advertisers Need To Know

According to Google, ads created with its own generative AI advertising tools will automatically include the disclosure. For ads produced using other tools, advertisers will need to indicate whether AI was involved through a new control in the ad workflow.

Google also said it will not independently verify whether externally created ads used AI, meaning the system relies on advertiser disclosure rather than platform-side detection. In certain markets, additional labeling may be applied to comply with local regulations.

A Small Label With Big Implications

The update may appear modest, but it reflects a broader shift in how digital platforms are responding to generative AI. As AI tools become more deeply integrated into marketing workflows, disclosure is emerging as an increasingly important part of maintaining consumer trust.

For advertisers, the change introduces another transparency requirement alongside the growing use of AI in creative production. For Google, it represents another step toward balancing the adoption of generative AI with greater visibility into how advertising content is produced.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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