Privacidad en la era de la IA: salvaguardando datos personales

The emergence of generative artificial intelligence presents a paradox, offering transformative capabilities while simultaneously threatening fundamental privacy rights. As these models process vast amounts of personal information, they introduce significant risks, including the creation of predictive profiles and the potential misuse of sensitive data. This technological leap necessitates a critical examination of whether current consent mechanisms are truly adequate and if society is prepared for the ethical implications of automated decision-making. Existing data protection laws in Mexico, which guarantee rights such as access, rectification, and cancellation, require urgent adaptation to address the specific challenges posed by AI. A central challenge is ensuring algorithmic transparency, where individuals must understand how their data is processed and how automated decisions impact their lives. Regulatory frameworks must evolve to ensure systems are fair, explainable, and auditable, thereby closing the gap between rapid innovation and robust legal safeguards for individual rights. This discussion is highly relevant to open data because it highlights the tension between data utility and privacy preservation. The initiative by the INAI to publish recommendations underscores the need for ethical data governance models that allow for technological advancement without compromising individual freedoms. By promoting interdisciplinary dialogue and ethical principles, these efforts aim to create a secure digital environment. Ultimately, balancing the open use of data for innovation with strict privacy protections ensures that technology serves as an ally in building a more just and inclusive society, safeguarding human rights in the digital age.

Source: elfinanciero.com.mx
Published on 2025-02-26

Privacidad en la era de la IA: salvaguardando datos personales

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