AI invasion of networks

Social networks are using artificial intelligence (AI) as a key tool to optimize their businesses, but this raises serious concerns about user privacy. Platforms such as X (formerly Twitter), Meta (Facebook, Instagram and WhatsApp) and Google are integrating AI into their services, collecting personal and public data to train their models.

The latest addition is X’s Grok chatbot, which uses public posts and user data to improve its functionality. Meta has introduced AI into its apps, allowing for advanced interactions like answering questions, editing photos, and even imitating famous voices. Google Photos, meanwhile, uses AI to organize images and recognize detailed patterns.

However, these practices are often implemented without clear and explicit consent from users. Companies modify terms of service and users accept them without being fully aware of the implications. This raises questions about informed consent and invasion of privacy, especially in a context where laws governing the use of AI are still developing.

Mass data collection not only impacts privacy, but also perpetuates a business model that uses personal information as raw material. While companies promise end-to-end encryption and other security measures, there remains distrust about how this information is used to train AI systems.

In this context, it is essential that users are informed about the privacy settings available, review the permissions granted, and limit the amount of data shared on these platforms. As social networks expand their use of AI, the debate about the balance between technological innovation and privacy rights becomes increasingly urgent.

The truth is that it is not easy for the user to protect their privacy when using social networks that implement artificial intelligence. The theory recommends reviewing the privacy settings and adjusting who can see the publications or disabling unnecessary permissions, such as access to your location. Likewise, although it is tedious, reading the terms of use to understand how your data will be used is key. How many people do it? In the end, people settle for avoiding sharing sensitive information or publishing only what is necessary, but it is completely insufficient in the face of these data processing giants.

At least, let's not fall into ignorance and try to learn how platforms manage our privacy to adapt minimally.

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