Niantic's Data Collection Practices
POKÉMON Go, one of the most popular mobile games globally, gathers a vast amount of data from its extensive player base. While Niantic assures users of protecting personal information such as names and emails, the same cannot be said for location and AR data. The game's emphasis on exploration through AR scanning of landmarks like Pokéstops contributes to the collection of user data used to train AI models.
Transparency on Data Usage
Niantic's privacy policy has long disclosed the collection and utilization of location data, which users cannot opt out of while actively playing the game. Even when not using the app, players' data is still collected as long as their phones are on. For the first time, Niantic has provided clarity on the purpose of this location and AR data, aiming to develop a Large Geospatial Model (LGM) to enhance spatial intelligence for future technologies like AR glasses and autonomous systems.
Implications of Data Usage
The data collected by Niantic for training AI models has far-reaching implications, potentially extending to applications in autonomous systems such as self-driving cars. By utilizing AR to record real-world surroundings, the AI could assist in identifying obstacles on roads or narrow paths. While Niantic does not explicitly mention military or law enforcement applications, the data could have implications in these areas as well, aiding in the identification of specific locations.
Privacy Concerns in the Digital Age
As technology advances, the collection and utilization of personal data become increasingly prevalent, often without users fully comprehending the extent of data tracking. Despite expressing concerns about privacy, individuals unknowingly permit companies to gather data through various means for convenience. Education on data usage is crucial to empower individuals to make informed decisions about their privacy.
If you're interested in more Pokémon content, discover how to obtain a shiny Rayquaza in Pokémon Scarlet and Violet.
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