First AI Transparency Conference

The First AI Transparency Conference 2026 is an inaugural gathering dedicated to establishing transparency as a first-class scientific and governance requirement for artificial intelligence systems. The conference addresses explainability methods for black-box models, transparency in training data and model documentation, regulatory frameworks for AI disclosure, interpretable AI architectures, transparency for high-stakes applications including healthcare and criminal justice, and the tension between transparency and other values such as privacy and intellectual property.

The conference brings together AI researchers, legal and policy experts, ethicists, civil society advocates, and industry practitioners who recognize that opacity in AI systems poses serious risks to public trust and democratic accountability. As governments worldwide move toward requiring greater transparency in consequential AI systems, this conference provides a timely forum for developing scientific standards and practical tools that can support meaningful disclosure. Researchers, regulators, and developers alike will benefit from the cross-sectoral dialogue this pioneering event is designed to foster.