The field of artificial intelligence is moving towards a more human-centered approach, with a focus on emotional and relational readiness in AI integration. This shift is driven by the need to assess national readiness beyond infrastructure and innovation capacity, and to address the policy practice gap in AI governance. Researchers are developing new frameworks and indices, such as the AI Family Integration Index, to evaluate national preparedness for integrating emotionally intelligent AI into family and caregiving systems. Another key area of development is adaptive AI governance, which aims to balance technological progress with ethical and regulatory considerations. Comparative analyses of AI trends in different regions, such as the US, EU, and Asia, are providing insights into the strengths and challenges of various approaches to AI governance. The development of university policies on generative AI governance is also an important area of research, with a focus on creating frameworks that can provide practical guidance for universities in developing and refining their GAI policies. Noteworthy papers include: AI Family Integration Index, which introduces a new benchmarking framework for evaluating national preparedness for integrating emotionally intelligent AI into family and caregiving systems. Towards Adaptive AI Governance, which proposes an adaptive AI governance framework that integrates risk-tiered oversight, innovation accelerators, and strategic alignment mechanisms. A Framework for Developing University Policies on Generative AI Governance, which provides a systematic and adaptable framework for assessing and optimizing GAI policies across different educational contexts.