Generative AI for Visualization: Opportunities and Challenges

被引:2
|
作者
Basole, Rahul C. [1 ]
Major, Timothy [2 ]
机构
[1] Accenture Data & AI, Visualizat Interact Sci & BI Engn, Atlanta, GA 30308 USA
[2] Accenture Data & AI, Overland Pk, KS 66210 USA
关键词
Generative AI; Art; Artificial intelligence; Machine learning; Visualization; Media; Augmented reality; DESIGN;
D O I
10.1109/MCG.2024.3362168
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Recent developments in artificial intelligence (AI) and machine learning (ML) have led to the creation of powerful generative AI methods and tools capable of producing text, code, images, and other media in response to user prompts. Significant interest in the technology has led to speculation about what fields, including visualization, can be augmented or replaced by such approaches. However, there remains a lack of understanding about which visualization activities may be particularly suitable for the application of generative AI. Drawing on examples from the field, we map current and emerging capabilities of generative AI across the different phases of the visualization lifecycle and describe salient opportunities and challenges.
引用
收藏
页码:55 / 64
页数:10
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