Balancing Privacy & Transparency in Decentralized AI

This panel will explore the design approaches to ensuring Decentralized AI will effectively incorporate both the necessary transparency of algorithmic operations and the required privacy for the use of personal data. Drawing on many years of experience in various related fields, we will explore the intersection of decentralized architecture, privacy enhancing technologies and ML/AI algorithmic training to create AI systems that effectively align with our values.