Foundations for Trustworthy and Safe Intelligence Workshop

​Foundations for Trustworthy and Safe Intelligence Workshop

​ As AI systems become increasingly pervasive and powerful, ensuring its trustworthiness, safety, and reliability has become a foundational challenge for both research and real-world deployment. This workshop brings together researchers and practitioners to explore the theoretical foundations, methodological advances, and system-level perspectives required to build trustworthy and safe intelligent systems.

​ In addition, this workshop encompasses a broad range of topics, such as: 

• ​robust and generalisable learning;

• ​trustworthy and privacy-preserving machine learning;

• ​safe and reliable generative models, optimisation and stability of large-scale learning systems; and

• ​practical considerations for deploying AI responsibly in complex environments.

​This workshop is organised by A*STAR’s Centre for Frontier AI Research (A*STAR CFAR) and aims to foster cross-disciplinary dialogue across theory, systems, and applications, and to identify key research directions toward the next generation of safe, reliable, and trustworthy intelligence.