最危险的不平等，是理解的不平等｜AI x 留守儿童测评发布

Core Viewpoint - The article discusses the role of AI in supporting children, particularly focusing on left-behind children, and emphasizes the need for a scientific evaluation framework to assess AI's suitability for children's welfare [5][59]. Group 1: AI Suitability Assessment - Tencent Research Institute and Beijing University of Science and Technology designed an "AI Suitability Assessment" to evaluate mainstream AI models in addressing children's diverse questions [7]. - A unique five-layer pyramid evaluation model was created, encompassing safety, understanding, empathy, relationship support, and autonomy [9][10]. - The assessment identified ten dimensions that collectively form a comprehensive profile of a child-friendly AI [16]. Group 2: Evaluation Findings - The assessment revealed that AI models scored higher in foundational dimensions like safety and reliability, with scores of 4.04 for confidentiality, 3.88 for accuracy, and 3.87 for non-harmfulness [24]. - However, higher-level dimensions such as empathy, relationship support, and autonomy scored below 3, indicating a significant gap in AI's ability to provide emotional support and foster social relationships [24][57]. - Deepseek was noted as the highest-scoring model in the assessment, although its performance was less pronounced compared to its results in youth sexual education topics [26][57]. Group 3: Emotional and Social Support - In addressing emotional issues, AI performed best with a score of 3.64, reflecting its ability to handle universal emotional patterns but lacking in contextual understanding [28][57]. - The AI's inability to provide deep empathy and effective empowerment was highlighted, particularly in the context of left-behind children's unique challenges [45][49]. - The assessment indicated that while AI can simulate emotional responses, it struggles with fostering genuine relationships and understanding the complexities of children's social environments [40][55]. Group 4: Implications for Education Equity - The article argues that AI can democratize access to educational resources but may also obscure deeper issues of inequality, particularly in understanding children's real-life challenges [59][60]. - The findings suggest that the most effective AI for children is not necessarily the most advanced but one that knows when to engage and when to allow children to take the lead [63]. - The ultimate goal of educational equity should be to nurture well-rounded individuals rather than merely providing advanced tools [63].