Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) highlighted the importance of global cooperation and governance in AI, with a focus on safety and ethical considerations [1][6] - Key figures in AI, including Geoffrey Hinton and Yao Qizhi, emphasized the need for AI to be trained with a focus on benevolence and the societal implications of training data [2][3] - The issue of AI hallucinations was identified as a significant barrier to the reliability of AI systems, with over 70% of surveyed industry professionals acknowledging its impact on decision-making [3] Group 1: AI Governance and Safety - The release of the "Global Governance Action Plan for Artificial Intelligence" and the establishment of the "Global AI Innovation Governance Center" aim to provide institutional support for AI governance [1][6] - Hinton's metaphor of "taming a tiger" underscores the necessity of controlling AI to prevent potential harm to humanity, advocating for global collaboration to ensure AI remains beneficial [2] - Yao Qizhi called for a dual governance approach, addressing both AI ethics and the societal conditions that influence AI training data [2] Group 2: Data Quality and Training - The quality of training data is critical for developing "gentle" AI, with Hinton stressing the need for finely-tuned datasets [4] - Industry leaders, including Nvidia's Neil Trevett, discussed challenges in acquiring high-quality data, particularly in graphics generation and physical simulation [4] - The importance of multimodal interaction data was highlighted by SenseTime's CEO Xu Li, suggesting it can enhance AI's understanding of the physical world [5] Group 3: Addressing AI Hallucinations - The hallucination problem in AI is a pressing concern, with experts noting that current models lack structured knowledge representation and causal reasoning capabilities [3] - Solutions such as text authenticity verification and AI safety testing are being developed to tackle the hallucination issue [3] - The industry recognizes that overcoming the hallucination challenge is essential for fostering a positive human-AI relationship [3]

Group 1 - The core idea emphasizes that the global governance framework for artificial intelligence (AI) should not merely outline a roadmap but should incorporate human values and compassion to ensure a safe coexistence with AI [1][6] - The 2025 World Artificial Intelligence Conference highlighted the theme "Intelligent Era, Common Prosperity," focusing on the importance of global governance in AI and the need for innovation, cooperation, and shared governance [2][5] - AI is becoming a new engine for economic growth, deeply integrating with the real economy and transforming social structures and relationships [2][3] Group 2 - The relationship between humans and AI is evolving from a subject-object dynamic to a more equal partnership, where AI may surpass human intelligence in various measurable metrics [3][4] - Training AI with clean and benevolent data is crucial to ensure its safe development, as human flaws should not contaminate AI's learning environment [3][4] - Acknowledging the interdependent nature of humans and AI is essential for creating a safe AI era, where humility and respect for nature and markets are prioritized [4][5] Group 3 - An open and inclusive global order is necessary for harnessing the positive potential of AI, with international cooperation being vital for establishing a widely accepted governance framework [5][6] - The governance of AI should reflect a deep respect for natural laws and human nature, avoiding control and aggression, to allow AI to enhance human capabilities [6]

AI正在悄悄地重塑现代战争体系，在军工领域从辅助工具逐渐跃升为智能战场的中枢大脑。 近年来人工智能（AI）的快速发展，引得人们一直乐此不疲地讨论"AI代替人类"的问题，但实际上无论 AI最终是否能够代替人类，在此之前人类将会先面临一个问题——AI技术发展的不平衡将再度拉开各 国发展的差距，加剧国际博弈的激烈程度。 由此可见，许多国家已经深刻地意识到AI技术将会改变未来战争的形态，甚至重塑世界格局。但是不 同国家和地区在AI技术、资金、人才和基础设施上存在的差距显著。美国在AI领域的投资和研发能力 远超其他国家，而发展中国家在AI技术应用和治理方面面临更多困难。这种技术鸿沟可能导致全球治 理中的权力失衡，使得发达国家在AI规则制定中占据主导地位，而发展中国家的诉求难以得到充分表 达。例如，欧盟提出的《人工智能法案》是全球首部全面监管人工智能的法规，其意图是在全球AI治 理中树立标杆，实际上是代表了欧盟利益。因此，未来AI的全球治理需要各国共同向以下几个方向做 出努力： 一是，倡导多方参与。AI技术的全球性特征决定了其治理必然超越国界，需要各国共同参与。首先是 标准与执行问题，一些国际组织（如G20、OECD）也 ...