Trustworthy AI and Mobile Generative AI for 6G Networks and Smart Industry Applications

Purpose and goal:

Project aims to develop trustworthy AI solutions for automated industrial systems. In addition, the project will explore the integrating of Mobile Generative AI, it enhances real-time decision-making and dynamic content generation within 6G networks, optimizing adaptability, efficiency, and security through on-device processing and reduced latency. This MIUN and NTU´s collaboration drives trustworthy AI innovation, connecting research with real-world applications for safer, smarter industries.

Expected results and effects:

Outcomes include AI-driven security measures, transparent decision protocols, and ethical governance, increasing safety, efficiency, and reliability for industry stakeholders. Seminars, workshops, and joint educational programs will equip researchers, students, and industry professionals with insights into secure AI deployment and governance, bridging academia with industry needs and fostering partnerships between Sweden and Singapore.

Approach and implementation:

During the exchange, Dr. Kyi Thar will work with Prof. Dusit Niyato’s team on trustworthy AI for 6G networks and initiate new research proposals. Key activities include AI optimization, studying trustworthy AI and Mobile Generative AI, and aligning with the EU AI Act. Collaboration will continue remotely after the exchange, ensuring progress and meeting VINNOVA’s requirements. New MSc thesis proposals, joint research, and funding applications will have lasting impacts for NTU and MIUN.