Core Viewpoint - The article emphasizes the importance of integrating autonomous innovation and open cooperation in the development of artificial intelligence (AI), highlighting the need for a balanced approach to ensure both technological advancement and safety [2][6][10]. Group 1: Autonomous Innovation - Autonomous innovation is the foundation of AI development, essential for avoiding dependency on foreign technologies and ensuring national security [2][3]. - Since 2018, China has made significant breakthroughs in core technologies such as chip architecture and algorithms, establishing a self-sufficient industrial ecosystem [3]. - The vast domestic market serves as a testing ground for AI technologies, providing ample application scenarios and supporting the autonomous development of AI [3]. Group 2: Open Cooperation - Open cooperation is crucial for keeping pace with global technological advancements and preventing isolation in technological development [4][6]. - Global open-source communities have contributed significantly to AI innovation, providing foundational support through frameworks like TensorFlow and PyTorch [4]. - International collaboration is necessary for addressing global challenges in AI governance, with China advocating for technology sharing and capacity building to bridge the digital divide [4][6]. Group 3: Balancing Development and Safety - The rapid application of generative AI has transformed various industries but also introduced risks such as deep fakes and information manipulation [7][8]. - A dynamic balance between innovation and safety is essential, ensuring that technological progress does not outpace society's ability to manage associated risks [8][10]. - The article stresses the importance of maintaining national security while fostering innovation to enhance productivity and societal welfare [8][10]. Group 4: Government and Market Collaboration - Effective collaboration between government and market forces is vital for the successful development of AI, as both play complementary roles in resource allocation [9][10]. - Government intervention is necessary in areas where the market may be hesitant to invest, particularly in foundational research and infrastructure [9]. - The article highlights the need for coordinated efforts to avoid disorderly competition and maximize national benefits in AI development [9][10]. Group 5: Social Governance and AI Application - The integration of AI into various sectors raises social governance challenges, necessitating a focus on ethical standards and consumer rights [11]. - AI's potential to replace traditional jobs poses risks to employment, with estimates suggesting that around 40% of global jobs may be affected by AI technologies [11]. - Ensuring that AI serves humanity's interests requires establishing governance frameworks that balance efficiency with fairness and innovation with safety [11].