AI-assisted Packaging Design Strategies Based on Design Ethics

CHENG Chao, MA Yaxi, KUANG Tiantian

Packaging Engineering ›› 2025, Vol. 46 ›› Issue (4) : 333-341.

Packaging Engineering ›› 2025, Vol. 46 ›› Issue (4) : 333-341. DOI: 10.19554/j.cnki.1001-3563.2025.04.029

AI-assisted Packaging Design Strategies Based on Design Ethics

  • CHENG Chao1, MA Yaxi2, KUANG Tiantian3
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Abstract

With the rapid development of artificial intelligence (AI) technology, generative artificial intelligence has entered the popularization stage and intervened in the main process of packaging design practice. While bringing design tools, methods and form innovation to packaging design, AI also causes many social moral and design ethics issues. Therefore, it is required to rethink the relationship between AI-assisted design and packaging design, constrain the scope and use of AI with new ethical norms, and summarize design strategies more suitable for the age of artificial intelligence, so as to better guide packaging design practice in an AI-assisted way, and promote the sustainable development of artificial intelligence and packaging design. Based on the theory of design ethics, literature analysis and case analysis were used to summarize the opportunities and ethical risks brought by AI-assisted design for packaging design, and explore strategies to avoid and mitigate the ethical risks of AI-assisted packaging design. In the era of AI-assisted packaging design, packaging designers should adhere to:people-orientation, to use AI-assisted design with full social responsibility; equal design, to avoid algorithmic bias and do culturally inclusive design; and eco-design to assess and mitigate the environmental impact of the three-point design strategy with AI, so as to create a new future of sustainable packaging design and AI-assisted design.

Key words

design ethics; AIGC; AI-assisted design; design strategy

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CHENG Chao, MA Yaxi, KUANG Tiantian. AI-assisted Packaging Design Strategies Based on Design Ethics[J]. Packaging Engineering. 2025, 46(4): 333-341 https://doi.org/10.19554/j.cnki.1001-3563.2025.04.029

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