作者
Xiaoqi Lian
文章摘要
This paper focuses on the deep enabling mechanisms of Artificial Intelligence Generated Content (AIGC) technology in the field of design creativity and the concomitant ethical challenges, systematically analyzing its impact on the traditional design education system and opportunities for transformation. The study finds that AIGC reconstructs the underlying logic of creative production through a three-layer "data-algorithm-generation" technical architecture. While significantly enhancing the efficiency and diversity of creative generation, it has sparked core ethical controversies regarding creative originality, design subjectivity, and industry fairness. Facing this technological wave, design education urgently needs to shift from a "skill-imparting" paradigm to an "AI literacy-building" paradigm. This paper innovatively proposes the educational concept of "Critical Integration" and constructs a tripartite ability cultivation model encompassing "technical cognition-ethical deliberation-interdisciplinary collaboration," aiming to cultivate a new generation of design talents capable of mastering AIGC, adhering to design values, and leading future transformations.
文章关键词
AIGC; Design Creativity; Design Ethics; Design Education; Educational Transformation
参考文献
[1] Li Si,Wang Wu.Research on Generative AI Art Creation and Copyright Dilemmas[J].Jurisprudential Research,2023,45(2):112-125.
[2] Brown,T.B.,et al.Language Models are Few-Shot Learners[J].Advances in Neural Information Processing Systems,2020,33.
[3] Zhao Liu,Sun Qi.Paradigm Transformation and Path Exploration of Design Education in the AI Era[J].Zhuangshi,2022,(10):22-27.
[4] Official Technical White Papers and Ethical Guidelines of AIGC Platforms such as DALL-E 2,Midjourney[EB/OL].(2022-2023).
[5] UNESCO.AI and Education:Guidance for Policy-Makers[R].Paris:UNESCO,2021.
[6] Liu Ba,Chen Jiu.Research on Algorithmic Bias and Its Avoidance Strategies in Design[J].Packaging Engineering,2023,44(18):45-52.
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