Rotate your phone to navigate through the site properly
From Hype to Reality: Artificial Intelligence in the Study of Art and Culture
After the initial “hype” associated with the acronym “AI” in various contexts, the reality of conducting interdisciplinary research projects revealed many existing challenges such as cross-domain knowledge gaps, terminological misunderstandings, the AI “black box” problem, lack of transparency and various data-driven biases. In that context, the dialogue between disciplines is becoming a crucial mechanism to address the various emerging challenges of interdisciplinary research. While “interdisciplinarity” is often used as an appealing buzzword, the reality of truly interdisciplinary research is very challenging. The two-days symposium brings together scholars with experience of working at the intersection of disciplines such as digital humanities, digital art history, cultural and media studies, digital visual studies, deep learning and computer vision. The focus of this symposium is not so much on showcasing project results, but on using research projects as starting points for reflecting on the various challenges and opportunities of integrating AI methods in the study of art and culture. The symposium aims to bring together diverse perspectives and encourage cross-disciplinary discussions on the globally relevant topic of AI and its far-reaching implications on the future of science, art and culture.
We invite contributions that foster collaborative critical reflection on the topic of AI in the study of art and culture. To apply for a 20-minute presentation (15 min + Q&A) please submit an abstract (200-300 words) and a brief biographical note to email@example.com.
Submission deadline: February 26, 2023
Notification of acceptance: March 3, 2023
Symposium: April 20 and 21, 2023
The participation in the symposium is free and open to everyone, with no registration fees.
*Organization of this event is supported through UZH Global Strategy and Partnership Funding scheme and the Center for Digital Visual Studies.