One major piece of feedback I received from judge Cat Lew was that I ‘got this’, harking back to my visual art work from my previous class with her, my storyboarding, concept art, and poster work. However, drawing 25+ card art myself isn’t timeline feasible. Ali proposed a solution to me, that being the use of an AI generator, thus prompting a question within myself: ‘what benefits and curses could come out of using AI art as an artist?’ Identity-wise, Make Use Of’s Nanou E highlights a point about the core of all AI art, that being ‘AI art generator learns from existing images,’ hinging the central identity of our project on the works of others without their permission which stings (Nanou 2023).

An article by Aela focuses on Generative Adversarial Networks (GANs), that generates and discriminates sets of images called ‘training’, an element that has resulted in us changing our animals, as something specific like a ‘bloodworm’ is too obscure to accurately train Stable Diffusion to depict, further changing the identity of our project (Aela 2023). Frontiers in Psychology’s Chatterjee A uniquely identifies AI as a ‘partner for some artists’, a stance I’ve adapted as I researched, picturing AI as the third member of our group in charge of maintaining our project scope (Chatterjee 2022). I criticized AI art for its unethical nature in the first half of this semester, but now I’ve seen an objective use for it for the project’s sake, even if I’m against it artistically.

Reference List

Aela Editorial (1 April 2023) ‘Artificial Intelligence: How AI is Changing Art’, Aelaschool, accessed May 11 2023. https://aelaschool.com/en/art/artificial-intelligence-art-changes/

Chatterjee A (2022) ‘Art in an age of artificial intelligence’, Frontiers in Psychology, 13(n,d.), https://doi.org/10.3389/fpsyg.2022.1024449

Nanou E (18 January 2023) ‘The Ethical Pros and Cons of AI Art Generation’, Make Use Of, accessed May 11 2023. https://www.makeuseof.com/ai-art-generation-ethical-pros-cons/