GenAICHI 2024: Generative AI and HCI at CHI 2024

被引:0
|
作者
Muller, Michael [1 ]
Kantosalo, Anna [2 ,3 ]
Maher, Mary Lou [4 ]
Martin, Charles Patrick [5 ]
Walsh, Greg [6 ]
机构
[1] IBM Res, Cambridge, MA 02142 USA
[2] Univ Helsinki, Helsinki, Finland
[3] Siili Solut, Helsinki, Finland
[4] Univ N Carolina, Charlotte, NC USA
[5] Australian Natl Univ, Canberra, ACT, Australia
[6] Univ Baltimore, Baltimore, MD USA
关键词
Generative AI; Design; Bias; Uncertainty;
D O I
10.1145/3613905.3636294
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI), and - among other approaches - particularly to Large Language Models (LLMs) and Foundation Models (FMs). Unlike AI systems that produce decisions or descriptions, generative AI systems can produce new and creative content that can include images, texts, music, video, code, and other forms of design. The results are often similar to results produced by humans. However, it is not yet clear how humans make sense of generative AI algorithms or their outcomes. It is also not yet clear how humans can control and more generally, interact with, these powerful capabilities in ethical ways. Finally, it is not clear what kinds of collaboration patterns will emerge when creative humans and creative technologies work together. Following successful workshops in 2022 and 2023, we convene the interdisciplinary research domain of generative AI and HCI. Participation in this invitational workshop is open to seasoned scholars and early career researchers. We solicit descriptions of completed projects, works-in-progress, and provocations. Together we will develop theories and practices in this intriguing new domain.
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页数:7
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