The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development

Understand

In the current data driven era, synthetic data, artificially generated data that resembles the characteristics of real world data without containing actual personal information, is gaining prominence.

• This is due to its potential to safeguard privacy, increase the availability of data for research, and reduce bias in machine learning models.
• This paper investigates the policies governing the creation, utilization, and dissemination of synthetic data.
• Synthetic data can be a powerful instrument for protecting the privacy of individuals, but it also presents challenges, such as ensuring its quality and authenticity.