TY - GEN
T1 - GenAICHI: Generative AI and HCI
AU - Muller, Michael
AU - Chilton, Lydia B.
AU - Kantosalo, Anna
AU - Maher, Mary Lou
AU - Martin, Charles Patrick
AU - Walsh, Greg
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/4/27
Y1 - 2022/4/27
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, 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. Finally, it is not clear what kinds of collaboration patterns will emerge when creative humans and creative technologies work together. It is time to 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, 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. Finally, it is not clear what kinds of collaboration patterns will emerge when creative humans and creative technologies work together. It is time to 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.
UR - https://www.scopus.com/pages/publications/85129699762
U2 - 10.1145/3491101.3503719
DO - 10.1145/3491101.3503719
M3 - Conference Paper
AN - SCOPUS:85129699762
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery (ACM)
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022
Y2 - 30 April 2022 through 5 May 2022
ER -