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Commentary: Adding AI to Google Earth runs counter to what makes it so valuable

Satellite imagery is now a key part of the visual vocabulary of our 24-hour news cycle, says this UCL geography professor.

Commentary: Adding AI to Google Earth runs counter to what makes it so valuable

For centuries, mapmakers have been celebrated for their precision and attention to detail, shaping our understanding of the world. The Mountains of Kong, for example, were a 19th-century fabrication that persisted on maps for nearly 50 years despite being disproven by Louis-Gustave Binger's 1887-88 expedition. Maps have always been a trusted source of information, relied upon by journalists, fact checkers, and intelligence agencies to verify events across the globe.

However, Google's recent decision to integrate generative AI into its Google Earth platform has raised concerns about the authenticity of the platform's satellite imagery.

Users quickly exploited the AI tool to create fabricated images depicting disaster-stricken areas, leading to widespread outrage and Google's swift withdrawal of the feature within 24 hours. The AI-generated images, while appearing convincing, were easily debunked upon closer inspection. This incident highlights the deep trust users have placed in Google Earth, which was built over two decades and relies on satellite imagery to track real-world events in near-real time.

By merging Google Earth with AI-generated images, the platform risks diluting the authenticity and trustworthiness that have long defined maps. The AI tool, while promising, has the potential to generate misleading visual content, undermining the credibility of Google Earth and the broader field of cartography. The rapid response from Google, emphasizing stronger guardrails and the presence of automatic AI watermarks, offers some reassurance, but the incident serves as a reminder of the values that have shaped mapmaking – precision, reliability, and unwavering trust.

Written by urgent.news from Channel News Asia's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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