The field of autonomous vehicles is rapidly evolving, with a growing focus on ensuring the safety and security of these systems. Recent research has highlighted the importance of sharing safety-critical data across companies and regulators to improve overall safety. However, barriers to data sharing, such as the inherent value of datasets and concerns over competitive edges, must be addressed. Researchers are exploring new approaches to promote data sharing, including innovative data tools and pipelines. In addition to data sharing, researchers are also investigating ways to safeguard AI systems in autonomous vehicles, with a focus on standardization, regulation, and research. The development of adaptive human-AI collaboration frameworks is also underway, which aims to improve the safety and efficiency of autonomous vehicles. Cybersecurity is another critical area of research, with a growing concern over the vulnerability of autonomous vehicles to cyber threats. Researchers are working to develop and apply strong cybersecurity measures, including secure software development, intrusion detection systems, and cryptographic protocols. Noteworthy papers in this area include:

• A study on the barriers to sharing safety-critical data, which identified key challenges and proposed new approaches to promote data sharing.
• A survey on AI safety assurance for automated vehicles, which highlighted the need for concurrent research, standardization, and regulation.
• A paper on vehicular communication security, which proposed a novel Multi-Channel, Multi-Factor Authentication scheme to mitigate risks in Vehicle-to-Infrastructure communication.