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Artificial intelligence can find your location in photos, worrying privacy experts

Dec 30, 2023 - npr.org
A student project at Stanford University has developed an artificial intelligence (AI) algorithm, called PIGEON, that can accurately geolocate where photos are taken. The algorithm, designed by three graduate students, was initially trained to identify locations on Google Street View, but it was also able to accurately guess the locations of personal photos it had never seen before. The algorithm can identify the location of a Google Street view image anywhere on earth, guessing the correct country 95% of the time and usually picking a location within about 25 miles of the actual site.

However, the technology has raised privacy concerns. Jay Stanley, a senior policy analyst at the American Civil Liberties Union, warns that such technology could be used for government surveillance, corporate tracking, or stalking, as it could expose information about individuals that they never intended to share. Despite these concerns, the Stanford students believe the technology has potential beneficial applications, such as helping to identify the locations of old snapshots, conducting rapid surveys for invasive plant species, or identifying roads or power lines that need fixing.

Key takeaways:

  • A student project at Stanford has developed an AI algorithm, known as PIGEON, that can accurately geolocate where photos are taken, even if it has never seen the photo before.
  • The PIGEON algorithm was trained using images from Google Street View and can identify the location of a Google Street view image anywhere on earth with a high degree of accuracy.
  • While the technology has potential beneficial applications, such as identifying locations of old snapshots or helping field biologists conduct surveys, there are also privacy concerns. It could potentially expose information about individuals that they never intended to share and could be used for government surveillance, corporate tracking or stalking.
  • The Stanford students have held back from making their full model publicly available due to these privacy concerns. However, similar technology is likely to become widely available in the future, raising questions about how to protect privacy in the age of AI.
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