Group 1 - The conference "Caijing Annual Conference 2026" focused on the theme "China's Resilience in Changing Circumstances" and included discussions on artificial intelligence (AI) [1][6] - The dialogue featured Tsinghua University’s Xue Lan and US National Academy of Sciences member Terrence Sejnowski, discussing the essence of AI, risk governance, and future development directions [4][6] - Key points included the distinction between AI's capabilities and human intelligence, particularly the lack of self-awareness in current AI models [4][10] Group 2 - Xue Lan identified three categories of AI risks: misuse, technological failure, and systemic risks, and questioned the applicability of drawing "red lines" for AI governance [4][14] - Sejnowski emphasized the need for a balance between risk and benefit in technology regulation, advocating for self-regulation within the industry and international cooperation [4][13] - The discussion highlighted the significant impact of AI on employment, particularly for young people, and suggested that embracing change and learning new skills is essential [4][21] Group 3 - The conversation touched on the potential for neuroscience to inspire AI development, noting challenges such as heat dissipation and energy consumption in creating brain-like intelligence [5][24] - Sejnowski proposed the idea of an "AI-CERN" to foster collaboration in AI research, similar to the European Organization for Nuclear Research [20][21] - The dialogue concluded with a call for young people to adapt to the evolving job market influenced by AI, emphasizing the importance of interdisciplinary skills and continuous learning [21][29]
薛澜对话特伦斯·谢诺夫斯基:人工智能的智能本质与未来治理
Xin Lang Cai Jing·2025-12-20 03:36