Algorithmic Censorship of Art: A Proposed Research Agenda

Authors: Riccio, P. , Oliver, J. L., Escolano, F. , Oliver, N.

External link: https://computationalcreativity.net/iccc22/accepted-papers/
Publication: 13th International Conference on Computational Creativity , 2022
PDF: Click here for the PDF paper

In the past decade, the application of Artificial Intelligence (AI) techniques to autonomously generate creative content or to support human creativity has gained interest from the scientific community. The generative models that have been proposed in the literature are changing the agency and dynamics of our art practices. A less explored area in the intersection of AI and creativity includes the indirect impact of AI on our creativity through content moderation algorithms on social media. Such algorithms tend to censor artistic pieces that display nudity, acting as inhibitors of human creativity. In this paper, we present a research agenda to tackle this challenge from a cultural and gender perspective, and we propose that a human and humanities-centered approach is necessary to develop AI systems that positively impact artistic practices.