In Russia, a preliminary draft of a national standard for data synthesis is being developed on the basis of the Big Data Association and with the participation of Sber. The goal of the standard is to improve the accessibility, security, and quality of data necessary for the development of artificial intelligence.
The main task of the standard is to describe the technology for creating confidential synthetic data, which will allow the development of AI technologies with privacy at all stages of synthesis.
The document presents mathematical proofs confirming that compliance with the standard's recommendations allows data to be synthesized without the risk of leakage of confidential information. Security is achieved by finding the optimal balance between privacy protection and the quality of the resulting datasets.
Synthetic data is becoming a real alternative to anonymized data, which today is often constrained by excessive regulatory restrictions. If privacy requirements are met, synthetic data does not carry risks and opens a breakthrough path to achieving the goals of data accessibility necessary for training artificial intelligence.
Experts believe that the approval of the standard in 2025 will be an important step towards integrating synthetic data into wide circulation in the country.
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