Core Viewpoint - The article emphasizes the importance of artificial intelligence (AI) as a driving force for technological revolution and industrial transformation, highlighting the need for a balanced approach between innovation and safety, as well as the integration of government guidance and market dynamics in AI development [1][10]. Group 1: Self-Innovation and Open Cooperation - Self-innovation is the foundation of AI development, and without core technology autonomy, open cooperation may lead to dependency [3]. - Since 2018, China has made breakthroughs in core algorithms and chip structures, establishing a self-sustaining industrial ecosystem [3]. - The domestic market serves as a testing ground for AI technology, supported by a complete industrial chain and the largest digital economy market globally [3][4]. Group 2: Dynamic Balance of Development and Safety - AI technologies are double-edged swords, bringing productivity leaps while posing potential risks [7]. - The development of AI must adhere to technological evolution laws and maintain national security [8]. - A balance between safety and innovation is crucial to avoid missing opportunities for productivity enhancement or falling into technological chaos [8]. Group 3: Government Guidance and Market Drive - Effective collaboration between government and market is essential for the efficient operation of the modern economic system and the development of AI [10]. - Government plays a crucial role in areas where the market is unwilling or unable to act, such as early funding for disruptive technologies [10][11]. - The complexity of technological innovation and global competition highlights the necessity of this collaboration for orderly and efficient AI development [11]. Group 4: Value Integration of Industrial Application and Social Governance - The rapid advancement of AI brings significant societal challenges, making social governance a focal point [14]. - Issues like algorithm bias and data misuse arise as AI becomes more integrated into human decision-making [14]. - Ensuring that AI applications are grounded in reasonable social governance norms is vital for balancing efficiency and fairness, innovation and safety, and commercial interests with public welfare [14].