“La IA puede usar nuestros datos para entrenar el siguiente modelo”

The article warns that sharing sensitive data with free artificial intelligence tools entails significant risks, as these platforms may use the information to train their models and improve their algorithms. To mitigate this vulnerability, experts strongly recommend opting for paid or enterprise accounts, which typically disable the option to share data with the public by default, thereby ensuring that users’ privacy is protected against the commercial use of their information. Digital security requires going beyond platform settings; it is essential to verify that one is accessing official websites to avoid scams, enable two-factor authentication, and store credentials in secure applications. Furthermore, the importance of discerning what information is shared is emphasized, avoiding the upload of critical data such as bank passwords, while recognizing the value of customizing responses. The balance between privacy and utility is key, especially when using agents with full access to the device, where incorrect configuration can expose confidential files. This discussion is crucial for the open data movement because it raises ethical questions about the ownership and flow of personal information. The mass collection of user data, even under the pretext of model improvement, contrasts with the principles of transparency and individual control advocated by the open data community. By promoting security practices and raising awareness about how data is used, a culture is fostered in which information is not exploited indiscriminately, but rather managed with respect for privacy and citizen autonomy.

Source: razon.com.mx
Published on 2026-10-03

“La IA puede usar nuestros datos para entrenar el siguiente modelo”

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