Google Rolls Back AI Image Feature In Google Earth After Backlash
Google has rolled back a newly introduced Google Earth feature that allowed users to generate AI-created images within its satellite-mapping platform using Nano Banana 2, the company’s image-generation model.
The feature was designed to let users create and place AI-generated visuals on real-world maps. Soon after its release, however, it drew criticism from researchers and journalists, who warned it could be used to create misleading or fabricated geospatial content.
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Concerns Over Trust And Misinformation
The backlash centered on Google Earth’s long-standing role as a trusted visual reference for journalists, researchers and the public. Critics argued that combining AI-generated imagery with real-world location data could make it more difficult to distinguish authentic satellite imagery from fabricated content.
A BBC journalist highlighted the issue on X, arguing that a tool capable of generating deceptive images within one of the world’s most widely used mapping platforms could be vulnerable to misuse.
Google Pauses The Feature
Google removed the feature less than a day after its launch.
“We’ve seen geospatial professionals using this feature for a range of useful purposes, however we’ve also seen people sharing screenshots of generated imagery that appear to violate our policies,” the company said in a statement. “We’re rolling back this feature in Google Earth while we work on implementing stronger guardrails.”
The decision illustrates how quickly generative AI features can come under scrutiny when they are integrated into products that people rely on for real-world information.
A Wider Challenge For AI Products
The episode highlights a broader challenge facing technology companies as generative AI becomes more deeply embedded in consumer products. As AI-generated content becomes increasingly realistic, companies are under growing pressure to introduce safeguards that reduce the risk of misinformation while preserving legitimate use cases.
For platforms built around trusted information, balancing innovation with user confidence is becoming an increasingly important part of product development.
