Privacidad en la era de la IA: salvaguardando datos personales
Generative artificial intelligence poses significant risks to personal privacy, necessitating urgent updates to existing legal frameworks. Current regulations in Mexico, while robust in principle, require adaptation to address the specific challenges of algorithmic transparency and the potential for misuse of sensitive data. The article argues that ensuring these systems are fair, explainable, and auditable is crucial for maintaining the balance between technological innovation and the protection of fundamental rights. The text highlights the importance of integrating international best practices into local legislation to close regulatory gaps. It emphasizes that privacy is not merely a technical issue but a profound ethical and social concern. By fostering a dialogue on responsible AI development, society can leverage these technologies to improve living conditions without compromising individual dignity. This approach seeks to create a digital environment that is secure, inclusive, and respectful of citizens' constitutional rights. This discussion is highly relevant to open data because it addresses the governance of the information ecosystem that open data initiatives rely upon. As governments and organizations increasingly use open data to drive transparency and innovation, the intersection with artificial intelligence raises critical questions about data provenance, bias, and privacy preservation. Ensuring that open data practices align with ethical AI standards protects public trust and ensures that data accessibility does not come at the expense of individual rights, thereby supporting a sustainable and responsible data economy.
Source: elfinanciero.com.mxPublished on 2025-01-29
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