In 2016, the augmented reality (AR) game Pokémon GO
became a global sensation, blending physical exploration with
virtual gameplay. Behind the scenes, the game's immense
popularity also served as a unique opportunity for its developer,
Niantic, to collect vast amounts of data from millions of users.
While this data drove innovation in AR and machine learning, it
also raised significant questions about privacy and compliance with
evolving data protection laws.
This article explores how Niantic leveraged player data to train
artificial intelligence (AI) systems and considers the critical
privacy implications for organizations developing AI-driven
products.
Introduction
Pokémon GO's core gameplay relies on geolocation and
AR technology, requiring players to interact with real-world
locations via their smartphones. As players traversed their
neighbourhoods and beyond, Niantic collected extensive data,
including: