Group 1 - The core viewpoint emphasizes the need for a collaborative governance framework at micro, meso, and macro levels to address ethical risks associated with AI advancements [1][2] - AI research accounted for 35% of global scientific output by 2022, indicating a significant impact on research paradigms and creativity metrics [1] - The forum featured discussions from experts across various universities on topics such as AI ethical governance and technology innovation strategies [2] Group 2 - At the micro level, scientists should adopt dual roles as innovators and ethical governors, enhancing their ethical literacy [2] - At the meso level, leading companies should establish ethics committees, and research institutions need to restructure their teams [2] - At the macro level, there is a call to build competitive digital infrastructure and improve the technology ethics governance system [2]