GenAICHI 2023: Generative AI and HCI at CHI 2023

Michael Muller; Lydia B. Chilton; Anna Kantosalo; Q. Vera Liao; Mary Lou Maher; Charles Patrick Martin; Greg Walsh

doi:10.1145/3544549.3573794

GenAICHI 2023: Generative AI and HCI at CHI 2023

Michael Muller, Lydia B. Chilton, Anna Kantosalo, Q. Vera Liao, Mary Lou Maher, Charles Patrick Martin, Greg Walsh

Research output: Conference materials › Abstract › peer-review

Abstract

This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI). 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 a successful workshop in 2022, 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.

Original language	English
DOIs	https://doi.org/10.1145/3544549.3573794
Publication status	Published - 19 Apr 2023
MoE publication type	Not Eligible
Event	Conference on Human Factors in Computing Systems - Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023

Conference

Conference	Conference on Human Factors in Computing Systems
Abbreviated title	CHI
Country/Territory	Germany
City	Hamburg
Period	23/04/2023 → 28/04/2023

Fields of Science

Bias
Design
Generative AI
Uncertainty
113 Computer and information sciences

Access to Document

10.1145/3544549.3573794

Cite this

@conference{483554c2e55f4a3a903660daf437770d,

title = "GenAICHI 2023: Generative AI and HCI at CHI 2023",

abstract = "This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI). 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 a successful workshop in 2022, 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.",

keywords = "Bias, Design, Generative AI, Uncertainty, 113 Computer and information sciences",

author = "Michael Muller and Chilton, {Lydia B.} and Anna Kantosalo and Liao, {Q. Vera} and Maher, {Mary Lou} and Martin, {Charles Patrick} and Greg Walsh",

note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; Conference on Human Factors in Computing Systems, CHI ; Conference date: 23-04-2023 Through 28-04-2023",

year = "2023",

month = apr,

day = "19",

doi = "10.1145/3544549.3573794",

language = "English",

}

TY - CONF

T1 - GenAICHI 2023

T2 - Conference on Human Factors in Computing Systems

AU - Muller, Michael

AU - Chilton, Lydia B.

AU - Kantosalo, Anna

AU - Liao, Q. Vera

AU - Maher, Mary Lou

AU - Martin, Charles Patrick

AU - Walsh, Greg

PY - 2023/4/19

Y1 - 2023/4/19

N2 - This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI). 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 a successful workshop in 2022, 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.

AB - This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI). 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 a successful workshop in 2022, 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.

KW - Bias

KW - Design

KW - Generative AI

KW - Uncertainty

KW - 113 Computer and information sciences

U2 - 10.1145/3544549.3573794

DO - 10.1145/3544549.3573794

M3 - Abstract

AN - SCOPUS:85158165229

Y2 - 23 April 2023 through 28 April 2023

ER -