| 杨杰,蔡子杰.大数据时代人工智能赋能社会设计前景研究[J].包装工程,2023,44(12):89-97. |
| 大数据时代人工智能赋能社会设计前景研究 |
| Prospects of Artificial Intelligence Enabling Social Design in the Big Data Era |
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| DOI：10.19554/j.cnki.1001-3563.2023.12.009 |
| 中文关键词: 智能化 大数据 社会设计 计算思维 意义建构 |
| 英文关键词: intelligence big data social design computational thinking meaning construction |
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| 中文摘要: |
| 目的 聚焦当前信息时代下的大数据环境和日益突出的社会问题，探究人工智能的发展会为社会设计的思维与方法、演进与智能化带来怎样的影响。方法 首先厘清社会设计的概念及其内在的逻辑与模式，然后比较分析人工智能赋能设计产业所展现出的新特点，通过实践案例探究其对社会设计发展可能产生的影响。结果 在万物数据化、智能化的今天，人工智能的发展逐步渗入到设计产业中，不仅丰富了设计创作的工具和流程，更是对传统的设计方法、设计思维和评价标准进行了全方位的语义升维。结论 基于量化数据的计算设计呈现出系统化、个性化及实时性等特征，由算法与大数据所衍生出的新思维模式将以往不确定的问题转化为直观的数据问题，能够与社会设计形成良好的互补关系。 |
| 英文摘要: |
| The work aims to focus on the big data environment and increasingly prominent social problems in the information age, and explore how artificial intelligence will affect the thinking and methods, development and intelligence of social design. First, the concept of social design and its inherent logic and mode were clarified. Then the new characteristics of the AI-enabled design industry were compared and analyzed. At last, its possible influence on the development of social design through practical cases was found. Today, when everything is digitized and intelligent, the development of artificial intelligence has gradually penetrated into the design industry, which not only enriches the tools and processes of design creation, but also provides a comprehensive semantic understanding of traditional design methods, design thinking and evaluation standards. The computational design based on quantitative data presents the characteristics of systematization, individualization and real-time performance. The new thinking mode derived from algorithms and big data transforms previously uncertain problems into intuitive data problems, which can form a good complementary relationship with social design. |
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