Privacidad: anonimización y seudonimización frente a la IA

Artificial intelligence inherently relies on personal data to function, creating a critical challenge for privacy protection in the face of a technology that evolves faster than existing regulations. Traditional laws, designed for passive web environments, prove inadequate in the context of modern users’ active and continuous interaction with virtual assistants and algorithmic platforms, resulting in a disconnect between technological capabilities and the legal framework meant to protect them. To mitigate these risks, emphasis is placed on anonymization and pseudonymization techniques as fundamental tools. Anonymization permanently removes personal identifiability, whereas pseudonymization conceals identity while maintaining a potential link, thereby requiring additional layers of security. These practices enable the legitimate use of data for innovation and scientific research without compromising individual privacy, ensuring that companies and developers prioritize user protection over mere data accumulation. The relevance of this article to open data lies in the need to balance technological innovation with ethics and security. Privacy should not be an obstacle to AI development but rather an inherent requirement of responsible design. By ensuring the legitimacy and quality of data processing through updated frameworks, a crucial precedent is established for making information accessible and usable in a secure manner, fostering a digital ecosystem where human rights and technological progress coexist without undermining public trust.

Source: rionegro.com.ar
Published on 2024-05-07

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