GenAICHI 2023: Generative AI and HCI at CHI 2023
| dc.contributor.author | Muller, Michael | en |
| dc.contributor.author | Chilton, Lydia B. | en |
| dc.contributor.author | Kantosalo, Anna | en |
| dc.contributor.author | Liao, Q. Vera | en |
| dc.contributor.author | Maher, Mary Lou | en |
| dc.contributor.author | Martin, Charles Patrick | en |
| dc.contributor.author | Walsh, Greg | en |
| dc.date.accessioned | 2026-09-09T05:40:22Z | |
| dc.date.available | 2026-09-09T05:40:22Z | |
| dc.date.issued | 2023-04-19 | en |
| dc.description.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. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 7 | en |
| dc.identifier.isbn | 9781450394222 | en |
| dc.identifier.other | ORCID:/0000-0001-5683-7529/work/226183197 | en |
| dc.identifier.scopus | 85158165229 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733815246 | |
| dc.language.iso | en | en |
| dc.publisher | Association for Computing Machinery (ACM) | en |
| dc.relation.ispartof | CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems | en |
| dc.relation.ispartofseries | 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 | en |
| dc.relation.ispartofseries | Conference on Human Factors in Computing Systems - Proceedings | en |
| dc.rights | Publisher Copyright: © 2023 Owner/Author. | en |
| dc.subject | Bias | en |
| dc.subject | Design | en |
| dc.subject | Generative AI | en |
| dc.subject | Uncertainty | en |
| dc.title | GenAICHI 2023: Generative AI and HCI at CHI 2023 | en |
| dc.type | Conference paper | en |
| dspace.entity.type | Publication | en |
| local.contributor.affiliation | Muller, Michael; IBM | en |
| local.contributor.affiliation | Chilton, Lydia B.; Columbia University | en |
| local.contributor.affiliation | Kantosalo, Anna; University of Helsinki | en |
| local.contributor.affiliation | Liao, Q. Vera; Microsoft USA | en |
| local.contributor.affiliation | Maher, Mary Lou; University of North Carolina at Charlotte | en |
| local.contributor.affiliation | Martin, Charles Patrick; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Walsh, Greg; University of Baltimore | en |
| local.identifier.ariespublication | a383154xPUB41565 | en |
| local.identifier.doi | 10.1145/3544549.3573794 | en |
| local.identifier.pure | 11a81098-5645-4f43-b4d2-cea61fa7e6a4 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/85158165229 | en |
| local.type.status | Published | en |