大数据与美学新思维

Big Data and New Dimensions of Aesthetics

大数据改变了科学和认识的范式,同时也对传统美学产生冲击和影响。首先是关联思维和计算思维的结合。大数据在人工智能艺术中的应用,说明艺术中的关联思维可以被算法所表示。其次是全面性认识与小样本方法的融合。全面的数据带来了客观性,使得艺术从专家驱动走向了观众和流量驱动,而人类在小数据限制下的“隐喻-联想”能力,也为实现人工智能的“大任务”提供了可能。最后,大数据技术还可以融合静态思维和动态思维、定性分析和定量分析、理性认识和感性认识等。但是,我们也要警惕“数据中心主义”和“数据霸权”,防止大数据造成的审美同一化。我们应该提升人们的“数据素养”,用“审美理性”来限制和引导大数据技术的发展。

Big data has changed the paradigm of science and cognition,and also have impact on traditional aesthetics.The first is the combination of correlative thinking and computational thinking.The application of big data in Artificial Intelligence art shows that associative thinking in art can be expressed by algorithms.The second is the fusion of comprehensive thinking and small data thinking.Comprehensive data bring objectivity,making art move from expert-driven to audience-driven and flow-driven.However,the“metaphor-association”ability of human beings under the restriction of small data also makes it possible to realize the“big task”of AI.Finally,big data technology can also integrate static thinking and dynamic thinking,qualitative analysis and quantitative analysis,rational knowledge and aesthetic knowledge.However,we should also alert“data centralism”and“data hegemony”,improve people's“data literacy”,prevent risks,and use “fine rationality” to restrict and guide big data technology.