at Google ScholarTitle data
Moradi, Hamid ; Flaucher, Madeleine ; Ott, Tabea ; Ringgold, Veronika ; Eskofier, Björn ; Leutheuser, Heike:
Can HCI Lead the Way? Workshop on Exploring Conscious AI.
In:
Mensch und Computer 2024 : Workshopband. -
Karlsruhe
: Gesellschaft für Informatik e.V.
,
2024
ISBN 979-8-4007-0998-2
Abstract in another language
The discourse of consciousness in AI is as old as the field of artificial intelligence itself. With the substantial progress of AI in recent years and emerging models, the conversation about conscious AI is becoming even more crucial. Although theories try to define consciousness, there is no reliable common ground among scientists. In this workshop, we want to take a different approach by presenting the issue to the HCI community as the connecting point between human interaction and AI models. We want to collect information on how participants perceive a conscious AI, discuss methods to measure consciousness in these systems, and consider how to ethically interact with a conscious AI. We believe that this can be a starting point for opening up the discussion among people who are practically more involved with AI.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Ambient Assisted Living and Medical Assistance Systems Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Ambient Assisted Living and Medical Assistance Systems > Chair Ambient Assisted Living and Medical Assistance Systems - Univ.-Prof. Dr. Heike Leutheuser |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works 600 Technology, medicine, applied sciences |
| Date Deposited: | 24 Feb 2026 07:10 |
| Last Modified: | 24 Feb 2026 07:10 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96324 |