First Workshop on

Ethical Considerations in Creative applications of Computer Vision

Virtual, June 19 - 2021


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.


Paper Submission

We encourage submissions of the following general categories:

  • 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.

Art Gallery

The Third Computer Vision Art Gallery will be presented as part of this workshop. Full details and submission deadlines here.


Ramya Srinivasan

Fujitsu Research of America

Mehtab Khan

University of California Berkeley

Beth Coleman

University of Toronto

Vladan Joler

University of Navi Sad

Caroline Sinders

Convocation Design+Research


Negar Rostamzadeh

Google Brain

Emily Denton

Google Brain

Linda Petrini

Google Brain

Lindiwe Malobola

JD AI Research

Beth Coleman

University of Toronto

Luba Elliott

Xavier Snelgrove

Probably Studio / University of Toronto

Ziad Al-Halah

The University of Texas at Austin

Hui Wu

MIT-IBM Watson AI Lab

Tamara Berg

Facebook AI