“Lab-Grown Data”: The Role of Synthetic Data as Key Tool for Evolving the AI Landscape Ensuring Fairness and Respecting Privacy

Synthetic data plays a crucial role in advancing AI while ensuring fairness and privacy. This chapter explores the growing importance of synthetic data in the AI landscape, addressing challenges in accessing and using real-world data due to privacy and bias concerns. Synthetic data, generated by models like GANs and VAEs, offers a solution by mimicking real data without compromising individual privacy. It enables the creation of high-quality, unbiased datasets for training AI models, facilitating innovation and compliance with regulations like the GDPR and the EU AI Act. The chapter highlights use cases, particularly in healthcare, where synthetic data can drive advancements while maintaining data privacy and security. The future of AI development hinges on robust data governance, and synthetic data is poised to be a key tool in creating a fair and ethical AI ecosystem.