Core Viewpoint - The need for high-quality data set construction in China is emphasized, with a call for scientists to adopt a public perspective and scientific vision to drive this initiative [1][4]. Group 1: High-Quality Data Sets - China possesses the capability and research strength to establish high-quality data sets, supported by both domestic and international observational data [1]. - Breakthroughs have been achieved in constructing high-quality marine data sets, with test results meeting or exceeding international standards [1][4]. - The construction of high-quality data sets requires leadership from relevant departments to organize scientists and ensure effective implementation [4]. Group 2: Statistical Analysis and Big Data - Traditional statistical methods face challenges in handling "ultra-high-dimensional" data, particularly in fields like genetics and geophysics, where data dimensions can reach millions while sample sizes remain small [1]. - There is a need for innovative hypothesis testing methods to address the complexities of high-dimensional data analysis [1]. - Statistical methods can serve as a common language across various fields, facilitating cross-domain applications of big data [2]. Group 3: Artificial Intelligence and Statistics - The integration of artificial intelligence (AI) and statistics is crucial, as AI models are fundamentally data-driven and share commonalities with statistical models [2]. - Simple statistical models should be prioritized before resorting to complex AI models, especially in scenarios with limited data [2]. - The importance of uncertainty measurement in AI and statistical methods is highlighted, as high uncertainty can render estimates meaningless [2]. Group 4: Talent Development - There is a significant talent gap in data analysis, including AI, necessitating enhanced training and educational programs [3]. - Tsinghua University is actively developing relevant undergraduate and master's programs to address this talent shortage [3].

Group 1 - The core viewpoint emphasizes that artificial intelligence (AI) will reshape the global labor market, affecting existing job structures and leading to a new technological revolution with unprecedented opportunities and challenges [2][4] - AI is transitioning from a "tool" to a "labor force," enhancing work efficiency and potentially replacing human jobs in various sectors, particularly in traditional industries [2][4] - The introduction of AI in manufacturing, finance, and healthcare is already demonstrating significant potential, with applications like automated production lines, algorithmic trading, and AI-assisted diagnostics [2][4] Group 2 - One of the major concerns regarding AI proliferation is the potential for "mass unemployment," particularly in sectors reliant on low-skill, repetitive jobs such as customer service and data entry [3][4] - The labor market will undergo a dramatic restructuring, where adaptability to new technologies will be crucial for both companies and individuals to benefit from the technological revolution [4][5] - Traditional industries such as manufacturing and transportation are expected to be the first to experience significant impacts from AI, with labor-intensive sectors facing substantial job reductions [4][5] Group 3 - In manufacturing, the rise of robotics and automated production lines will lead to the replacement of many manual and mechanical jobs, particularly in mid to low-end production roles [5] - The transportation sector will also be affected by AI, with the advent of autonomous driving technologies likely to reduce the demand for drivers significantly [5] - Despite the challenges faced by traditional industries, new job opportunities will emerge in fields such as data science, AI algorithm engineering, and smart hardware development [5][6] Group 4 - Governments and society must address how to protect workers' interests and promote skill upgrades in the face of accelerating AI adoption [6] - Policies encouraging retraining and career transitions for displaced workers are essential for helping them integrate into new industries [6] - A cautiously optimistic view suggests that AI's proliferation will not entirely destroy the job market but will instead create more innovation and opportunities, contingent on effective education and policy measures [6]