The workshop topics on energy efficiency, flexible air interfaces, resilience, AI explainability, human-network interfaces, and security/privacy are highly relevant to both the AI/ML and mobile/vehicular networking communities. This workshop will provide a focused forum to disseminate the latest AI research tailored to enable sustainable, reliable, and trustworthy networks and gather cross-disciplinary input on the role of ML in this emerging domain. We aim to bridge gaps between AI theory and mobile communication practice, elucidating high-impact research directions for 6G developments.
The intended audience for this workshop includes researchers and practitioners in the fields of artificial intelligence, machine learning, and mobile communications. This includes academics focusing on AI-driven innovations for 6G and professionals in mobile communication domains such as wireless networks, sustainability and trustworthiness. The workshop also targets industry players and vendors actively involved in developing and applying 6G technologies. Furthermore, it will be of interest to those working on standardization, optimizations, network resilience, and explainable AI in the context of 6G. Participants interested in sustainable and energy-efficient networking solutions and those focusing on security aspects of 6G networks will find the discussions and presentations particularly relevant.