Si aportas los datos de entrenamiento de la IA, entonces tú eres el producto

The launch of the humanoid robot NEO marks a paradigm shift in artificial intelligence: rather than providing immediate autonomy, the technology is being used as a device for mass data collection. Through human teleoperation during household tasks, the company captures valuable video footage to train future models. This transforms the user into a training asset, prioritizing knowledge acquisition over the product’s practical utility, reflecting a strategy in which true interoperability is secondary to machine learning. This model aligns with the practices of major digital platforms, which monetize user freedom by extracting data to improve their algorithms. Although the services appear free or accessible, the real cost lies in the surrender of privacy and personal information. This dynamic turns users into unpaid suppliers of raw material for artificial intelligence, replicating the historical evolution of the internet toward a centralized and extractive model in which the value generated by data does not accrue to those who produce it. This article is crucial for open data because it exposes the ethical risks of silent information collection. The distinction between public and private data becomes blurred when platforms and hardware capture intimate domestic environments without explicit or transparent consent. Analyzing such cases is essential to defend principles of transparency and ownership, ensuring that AI development respects individual data sovereignty against the business logic of extraction.

Source: error500.net
Published on 2025-11-05

Si aportas los datos de entrenamiento de la IA, entonces tú eres el producto

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