The field of conversational AI is moving towards more natural and context-rich interactions, with a focus on enhancing user experience and safety. Recent studies have explored the potential of large language models to power in-vehicle conversational agents, leading to more stable driving performance and higher user satisfaction. The development of more advanced chatbots has also raised concerns about security threats, privacy risks, and potential harms such as hallucinations, biases, and social isolation. To address these concerns, researchers are proposing mitigation strategies to empower users and promote responsible AI chatbot use. Noteworthy papers include: ChatGPT on the Road, which demonstrated the potential of LLM-powered in-vehicle agents to enhance driving safety and user experience. Ask ChatGPT: Caveats and Mitigations for Individual Users of AI Chatbots, which identified key risks associated with AI chatbot use and proposed mitigation strategies to address these concerns.