NEXT-G: Explainable and Trustworthy AI/ML for 6G and Beyond

Name of participant: Osman Tugay Basaran

Project’s name: Explainable and Trustworthy AI/ML for 6G and Beyond (NEXT-G)

Project description:

Future 6G systems will not only connect people and devices, but also enable connected robotics and mission-critical communications in environments such as smart hospitals and smart factories. In these settings, AI will increasingly support functions such as perception-action, control-sensing, resource orchestration, and real-time decision-making across communication and compute infrastructures. This creates enormous opportunities, but also a fundamental challenge: these AI-driven systems must be not only high-performing, but also explainable, trustworthy, robust, and safe. This is exactly where NEXT-G comes in; our project focuses on developing methods and frameworks for Explainable and Trustworthy AI, with particular attention to AI-native radio access networks, low-latency decision intelligence, adversarial robustness, and human-understandable explanations for critical network actions.

Software Campus Partner: Technische Universität Berlin und Huawei, Research Collaborator: Fraunhofer HHI

Implementation period: 01.01.2026 – 31.12.2027