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
相关论文
共 50 条
  • [21] The Metacognitive Demands and Opportunities of Generative AI
    Tankelevitch, Lev
    Kewenig, Viktor
    Simkute, Auste
    Elizabeth, Ava
    Sarkar, Advait
    Sellen, Abigail
    Rintel, Sean
    [J]. PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS (CHI 2024), 2024,
  • [22] Minitrack Introduction - Generative and Conversational AI in Information Systems Research and Education: Opportunities and Challenges
    Tahmasbi, Nargess
    Rastegari, Elham
    Shan, Guohou
    French, Aaron M.
    [J]. Proceedings of the Annual Hawaii International Conference on System Sciences, 2024,
  • [23] Navigating challenges and opportunities: Nursing student's views on generative AI in higher education
    Summers, Anthony
    El Haddad, May
    Prichard, Roslyn
    Clarke, Karen-Ann
    Lee, Joanne
    Oprescu, Florin
    [J]. NURSE EDUCATION IN PRACTICE, 2024, 79
  • [24] The promise and challenges of generative AI in education
    Giannakos, Michail
    Azevedo, Roger
    Brusilovsky, Peter
    Cukurova, Mutlu
    Dimitriadis, Yannis
    Hernandez-Leo, Davinia
    Jaervelae, Sanna
    Mavrikis, Manolis
    Rienties, Bart
    [J]. BEHAVIOUR & INFORMATION TECHNOLOGY, 2024,
  • [25] Fair AI Challenges and Opportunities
    Feuerriegel, Stefan
    Dolata, Mateusz
    Schwabe, Gerhard
    [J]. BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2020, 62 (04) : 379 - 384
  • [26] AI for ADHD: Opportunities and Challenges
    Rahman, Muhammad Mahbubur
    [J]. JOURNAL OF ATTENTION DISORDERS, 2023, 27 (08) : 797 - 799
  • [27] AI chips: Challenges and opportunities
    Singer, Pete
    [J]. SOLID STATE TECHNOLOGY, 2018, 61 (07) : 23 - 24
  • [28] Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models
    Ghimire, Prashnna
    Kim, Kyungki
    Acharya, Manoj
    [J]. BUILDINGS, 2024, 14 (01)
  • [29] Generative AI for visualization: State of the art and future directions
    Ye, Yilin
    Hao, Jianing
    Hou, Yihan
    Wang, Zhan
    Xiao, Shishi
    Luo, Yuyu
    Zeng, Wei
    [J]. VISUAL INFORMATICS, 2024, 8 (02): : 43 - 66
  • [30] The rise of generative artificial intelligence (AI) language models-challenges and opportunities for geographical and environmental education
    Chang, Chew-Hung
    Kidman, Gillian
    [J]. INTERNATIONAL RESEARCH IN GEOGRAPHICAL AND ENVIRONMENTAL EDUCATION, 2023, 32 (02) : 85 - 89