Abstract
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.
Key words
intelligence; big data; social design; computational thinking; meaning construction
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YANG Jie, CAI Zi-jie.
Prospects of Artificial Intelligence Enabling Social Design in the Big Data Era[J]. Packaging Engineering. 2023, 44(12): 89-97 https://doi.org/10.19554/j.cnki.1001-3563.2023.12.009
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