¿Qué son los datos sintéticos?

¿Qué son los datos sintéticos? » Crónica Viva

The article highlights that synthetic data, artificially generated through artificial intelligence, has emerged as a vital solution to overcome access and privacy limitations in the handling of real-world information. By fully anonymizing datasets while preserving their predictive value, organizations can train machine learning algorithms in scenarios where using original data would be illegal or technically unfeasible due to sample scarcity or data sensitivity. From an open data perspective, this technology enables more transparent and collaborative sharing and analysis of information without exposing individuals’ identities. This facilitates the publication of datasets that are valuable to the research community and technological development, fostering a data-driven innovation ecosystem that rigorously respects user privacy and complies with data protection regulations—something essential for maintaining public trust in the use of AI. Moreover, synthetic data addresses sample imbalance issues, such as the low frequency of fraud cases, allowing financial institutions and other sectors to improve the accuracy of their models. Its significance lies in democratizing access to high-quality data for research and development, ensuring that technological innovation advances without compromising private security or algorithmic fairness, which is fundamental to the ethics and sustainability of open data science initiatives.

Source: cronicaviva.com.pe
Published on 2025-02-15

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