Algorithmic age-verification: a magic bullet or surveillance creep?

Google's new age-verification system, using machine learning, aims to provide "age-appropriate experiences" but raises significant concerns. The system's reliability is questionable due to potential biases and inaccuracies, while its implementation could lead to increased surveillance and privacy violations. Ethical implications include the normalization of surveillance and potential misuse of data for targeted advertising or social control. Furthermore, the article discusses the possibility of a "race to the bottom" in privacy standards among tech companies. Ultimately, the author argues for greater transparency, accuracy, and respect for user rights in the development and implementation of such technologies.This article is also available in English on my Medium page, «Algorithmic age-verification: a magic bullet or surveillance creep?»

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