GenAICHI 2025: Generative AI and HCI at CHI 2025

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 2022-2024, we convene the interdisciplinary research domain of generative AI and HCI.Participation 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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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1145/3706599.3707213
Citations
3
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
7.44
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article

GenAICHI 2025: Generative AI and HCI at CHI 2025

Mary Lou Maher, Minsik Choi, Michael Müller, Greg Walsh et al.
3 citations
Explainable Artificial Intelligence (XAI)
7.44
article

GenAICHI 2025: Generative AI and HCI at CHI 2025

Mary Lou Maher, Minsik Choi, Michael Müller, Greg Walsh, Lydia B. Chilton, Charles Martín, Anna Kantosalo
article en
3 citations

Abstract

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 2022-2024, we convene the interdisciplinary research domain of generative AI and HCI.Participation 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.

University of North Carolina at Charlotte (US), Australian National University (AU), University of Helsinki (FI), University of Baltimore (US), Columbia University (US)
Openalex Percentile: Top 3%
Explainable Artificial Intelligence (XAI)
7.44
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GenAICHI 2025: Generative AI and HCI at CHI 2025 — Mary Lou Maher, Minsik Choi, et al. · (2025) | TGRS Research Map | TGRS