About Synthetic Data News
The independent authority on synthetic data and AI governance.
Our Mission
Synthetic Data News exists to provide independent, rigorous editorial coverage of the synthetic data industry, AI governance frameworks, and the emerging regulatory landscape for artificial intelligence. We cover daily developments, weekly analysis, and deep-dive research for practitioners, researchers, compliance professionals, and policymakers working at the intersection of data privacy, AI safety, and regulatory compliance.
What We Cover
Synthetic Data
From foundational concepts like what synthetic data is and how it is generated, to technical advances in GAN-based generation (including CTGAN and diffusion models), privacy guarantees like differential privacy, and the growing infrastructure for synthetic data certification.
AI Governance
We cover the full spectrum of AI governance practices: decision logging, audit trail requirements, model documentation standards, model risk management frameworks, training data governance, and AI provenance systems. Our coverage is practical and grounded in real-world implementation.
EU AI Act
The EU AI Act is the most significant AI regulatory framework enacted to date. We track implementation timelines, compliance requirements, high-risk AI classification, technical documentation obligations, and Article 12 logging requirements across deployment contexts.
Research and Analysis
Our research coverage summarizes peer-reviewed findings, benchmark studies, and industry reports. We maintain a research bibliography of key references for practitioners and academics.
Editorial Independence
Synthetic Data News operates as an independent editorial publication. Our coverage is not sponsored by technology vendors. Contextual references to tools and platforms—including CertifiedData.io—are editorial judgments based on relevance to the topics we cover.
CertifiedData.io is a related platform operated by the same organization as Synthetic Data News. We disclose this relationship transparently. References to CertifiedData in our coverage reflect genuine editorial relevance to certification, audit infrastructure, and compliance use cases.
Editorial Standards
Our editorial approach is detailed in our Editorial Standards document. We follow a clear citation policy, AI usage disclosure, and source verification methodology for all published content.
Contact
Editorial inquiries, research submissions, and corrections can be sent to [email protected].