把社会与经济视角融入AI设计，让技术更贴近真实人类智能。
A Collectivist, Economic Perspective on AI
- 从社会文化角度重构智能定义，而非仅模仿个体认知。
- 主张将经济与社会机制深度融入算法设计过程。
- 适合关注AI伦理、社会影响与系统性设计的研究者。
信息技术正经历一场革命，无处不在的数据收集与机器学习以前所未有的方式影响着人类世界。当前以‘智能’为指引的技术发展，常将人类认知视为基准，却忽视了人类是社会性动物，大部分智能源于社会与文化。若不将智能的社交属性置于恰当位置，就会使技术的社会后果被当作次要问题。未来的方向不应只是更多数据和算力，也不应仅关注认知或符号表征，而应彻底融合经济与社会概念，与计算和推理概念在算法设计层面实现深度融合。
原文摘要 · Abstract (English)
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word ``intelligence'' is being used as a North Star for the development of this technology, with human cognition viewed as a baseline. This view neglects the fact that humans are social animals and that much of our intelligence is social and cultural in origin. Moreover, failing to properly situate aspects of intelligence at the social level contributes to the treatment of the societal consequences of technology as an afterthought. The path forward is not merely more data and compute, and not merely more attention paid to cognitive or symbolic representations, but a thorough blending of economic and social concepts with computational and inferential concepts at the level of algorithm design.
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