Group 1 - The core viewpoint emphasizes the urgent need to address issues such as data misuse, algorithmic bias, and unclear responsibilities in AI governance, particularly in the healthcare sector [1] - The establishment of a trustworthy, reliable, and traceable AI governance system is seen as an inherent requirement for technological development and a necessary choice for social responsibility [1] - AI's alignment with human values is crucial for ensuring that artificial intelligence technology serves humanity positively, necessitating a dual approach where both AI systems learn human values and humans responsibly apply AI [3] Group 2 - The global trend in AI governance is moving towards promoting development and flexible regulation, aiming to create an agile governance system that encourages industry self-regulation through policy guidance [3] - The "AI Safety Commitment" initiated in July 2025 has seen participation from 18 leading companies, including Alibaba and Baidu, resulting in 20 practical labels and 43 safety cases, marking a new phase in China's AI safety governance [3] - Ant Group is focusing on dynamic mechanisms such as early warning, testing, and repair to enhance capabilities in AI governance, rather than solely relying on isolation and prevention [4] Group 3 - The application of AI in healthcare is viewed as a potential contributor to medical equity, particularly in addressing the uneven distribution of medical resources in China [6] - AI can assist in monitoring patient health through wearable devices, enhancing patient understanding of their conditions and improving adherence to treatment plans [7] - Ongoing discussions and collaborations between research institutions and companies like Ant Group aim to advance the governance of AI, ensuring it benefits humanity [7]