Todo sobre el auge de los datos sintéticos: qué son, en qué sectores se utilizan y qué riesgos pueden suponer

Emerging synthetic data offer a robust solution for balancing the benefits of artificial intelligence with strict user privacy. By generating artificial information that preserves the statistical structures and behaviors of real-world datasets without containing personal identifiers, this technology enables the training of complex algorithms without exposing confidential information. This advancement is crucial for maintaining digital trust while accelerating technological innovation in highly regulated environments. Various sectors, particularly those handling sensitive information such as healthcare, finance, and public administration, benefit significantly from this adoption. The implementation of synthetic data eliminates the need for costly and time-consuming anonymization and data-cleaning processes, while also facilitating the simulation of realistic scenarios, such as fraud or mobility trends. This capability allows organizations to optimize their operations and develop personalized services without compromising citizen security, further supported by legal frameworks such as the EU AI Act. However, the relevance of synthetic data to the open data movement lies in its potential to democratize access to information without sacrificing ethics or security. Although risks exist related to the quality of the source data and the possibility of re-identification, the benefits far outweigh the drawbacks by drastically reducing the risk of data breaches. For the open data community, synthetic data represent a promising avenue for sharing valuable and diverse datasets, fostering transparency and global collaboration while preserving individual integrity and privacy.

Source: lavozdegalicia.es
Published on 2025-12-09

Todo sobre el auge de los datos sintéticos: qué son, en qué sectores se utilizan y qué riesgos pueden suponer

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