Second Workshop on
Ethical Considerations in Creative applications of Computer Vision
Virtual, June 17 - 2022
Creative domains render a big part of modern society, having a strong influence on the economy and cultural life. Thus the impact of dismissing ethical aspects of working in creative computer vision applications and generative arts could amplify harms, such as enabling cultural appropriation, amplifying gender stereotypes in fashion, and limiting fashion to western designs. This workshop aims at creating a platform for interdisciplinary discussion among computer vision researchers, sociotechnical researchers, policy makers, social scientists and artists. In this workshop, we would like to encourage retrospective discussions, position papers on studying social impacts of research in creative applications of computer vision, ethical considerations in this domain including but not limited to artwork attributions, cultural appropriation and policies in creative AI. We also encourage technical contributions in computer vision for fashion, and creative content generation. Finally, we are proudly hosting the Art Gallery session in our workshop.
Updated Program is up now.
This year we are hosting a retrospective panel discussion on Art Galleries: last year Art Gallery: https://computervisionart.com/
Paper deadline is extended to April 23!
Paper submission deadline is on
April 16April 23!
Paper reviews will be out in
April 30May 8!
Problem statements, introducing new areas of research within ethics in creative AI research.
Retrospectives on past creative content generation research and its ethical consequences.
Technical contributions in the context of creativity and computer vision:
This may include Computational Photography, Image and Video Synthesis, Datasets, Evaluation and Comparison of Vision Algorithms.
Artworks that focus on the role of AI within society and its effect on art.
Research on attributions of creative contents.
Speakers and Panelists
Ramya Malur Srinivasan
University of Texas Austin
MIT-IBM Watson AI Lab