From January through March 2026, I was an artist in residence at Católica’s School of Arts in Porto, where I developed my ongoing artistic production and research within the framework of several projects: “Digital Dark Matter/Matéria Escura Digital”, with the support of DGArtes Portuguese Republic – Culture, Youth and Sport | DGARTES – Directorate-General for the Arts.
In that context, I facilitated a series of workshops enquiring into artistic practices with advanced visual technologies. Outcomes from the workshops will contribute to the analytical framework of my theoretical research and will be shared through academic publications. The developed artworks from the residency will be presented in an exhibition at gnration in Braga, Portugal later in 2026.
Workshop Series: Reflecting on Generative Methods in Artistic Practice
This workshop series examines how historically grounded theory can inform artistic practices with artificial intelligence (AI). New methods for integrating AI in art (Zylinska 2020) raise complex implications concerning the negative impact these tools may have on artists, the environment, and society (Jiang et al. 2024; Crawford 2021; Pasquinelli 2023; Noble 2018). Many of the issues surrounding AI currently are rooted in much longer tendencies that can inform our understanding of artistic practices with emerging technologies (Lee 2024; 2020). There is a need for conceptual and methodological guidance to aid artists in navigating the rapidly shifting technological conditions for cultural production. In this workshop series, participants will engage with theory on the historical context behind artistic practices working with AI with the goal of informing an understanding of its implications. They will also be guided in reflection on the material relative to their own work, considering these emerging methods of cultural production through collaborative discussion to identify, validate, and bring new insights into defining themes shaping how artists work with technology in their practices.
References and Suggested Reading
Jiang, Harry H., Lauren Brown, Jessica Cheng, et al. “AI Art and Its Impact on Artists.” Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (New York, NY, USA), AIES ’23, 2023, 363–74.
https://doi.org/10.1145/3600211.3604681
Lee, Rosemary. Machine Learning and Notions of the Image. IT University of Copenhagen, 2020. 174.
https://pure.itu.dk/en/publications/machine-learning-and-notions-of-the-image