Special Session

Ensuring Trustworthiness and Accountability in AI-Enabled Cyber-Physical Systems

Cyber-physical systems (CPS) have become vital components of critical infrastructure, influencing a range of sectors, including industrial automation, smart energy grids, healthcare delivery, and autonomous transportation systems. Incorporating Artificial Intelligence (AI) into CPS significantly enhances operational efficiency and self-sufficiency; however, it also introduces essential considerations regarding trustworthiness and accountability. This special session aims to explore how advanced AI-driven monitoring, access control, trust mechanisms, and verification and validation methods can help maintain the quality of CPS. We welcome contributions on topics such as real-time monitoring and anomaly detection, AI-enhanced intrusion prevention, zero-trust architectures for CPS, explainable AI techniques, and testing solutions designed to foster accountability and trustworthiness. Key attributes of interest may include but are not limited to Security, Privacy, Reliability, Safety, Resilience, Transparency, Integrity, Availability, Adaptability, Accuracy, Interoperability, Traceability, Explainability, and Compliance. We invite both practical and theoretical submissions that address these critical issues and propose practical strategies for ensuring the trustworthiness and accountability of CPS in an AI-enhanced environment. .

Organizers:

• Dr. Eda Marchetti (eda.marchetti@isti.cnr.it) National Research Council of Italy (CNR) -Institute of Information Science and Technologies “A. Faedo” (ISTI) -Pisa, Italy

• Dr. Sanaz Nikghadam-Hojjati (sanaznik@uninova.pt) - CTS- UNINOVA, LASI, NOVA University Lisbon, ISTI-CNR