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]

对人类来说，你是什么，未来的AI就是什么，每个人的一言一行，都将影响未来与什么样的AI相处。 因此，如何训练AI，用什么样的数据训练AI，是构造AI未来安全信念的最基础、最底层的逻辑。 我们可能并不清楚如何与比人类更聪明的AI相处，但至少不能让人类的贪癫痴、尔虞我诈等陋习污染 AI，这才是未来AI最大的安全隐患。 人工智能的全球治理框架和规则，不应是简单地为AI规划匡定路线图，而应该是收敛控制欲和好胜 感，用人类数千年积累的善念共识为AI注入悲悯人间的心智结构。 未来正不可逆地迎面走来。 26日在上海开幕的2025世界人工智能大会暨人工智能全球治理高级别会议，以"智能时代 同球共济"为 主题，突出AI全球治理，追求AI向善的力量。国务院总理李强在开幕式的致辞中提出更加注重普及普 惠、更加注重创新合作、更加注重共同治理等三点建议。 当前全球智能化浪潮风起云涌，AI领域创新呈群体性突破之势，语言大模型、多模态大模型和具身智 能等日新月异。随着AI Agent进入生活，AI与实体经济的深度融合已次第铺开，AI正在成为经济增长的 新引擎，深刻改变经济社会的结构，重构人与人、人与自然和人与社会的多维度关系。 在这场开弓 ...