The field of human-AI collaboration and social intelligence is rapidly evolving, with a focus on developing AI systems that can effectively interact and collaborate with humans. Recent research has highlighted the importance of designing AI systems that can understand and adapt to human behavior, preferences, and social norms. One key area of research is the development of collaborative multi-agent systems, where multiple AI agents work together to achieve a common goal. These systems have the potential to revolutionize areas such as decision-making, problem-solving, and communication. Another area of focus is the development of AI systems that can simulate human-like behavior, including persona simulation and social role-playing. These systems have the potential to improve human-AI interaction, increase trust and cooperation, and enhance overall performance. Noteworthy papers in this area include the introduction of a new collaborative multi-agent debate protocol, which significantly outperforms previous competitive methods in error detection, and the development of a socio-cognitive framework for evaluating proactive agents in multi-party negotiation, which demonstrates the effectiveness of socially intelligent mediator agents in building consensus. Overall, the field of human-AI collaboration and social intelligence is advancing rapidly, with significant potential for impact in a wide range of areas.