The author also explores the idea of training a model on their own work in a safe environment, allowing illustrators to generate images themselves. This experiment aims to understand what is generated in the encounter between human and machine ways of seeing. The author concludes by expressing anticipation and concern about how other illustrators will react to seeing their styles replicated by AI.
Key takeaways:
- The article discusses the challenges and implications of using AI to replicate an artist's style, focusing on the author's personal experience of having her illustrations mimicked by a machine learning model.
- It highlights the difficulty of separating content from style in art and the limitations of using language to describe visual elements, as much of the meaning in art is non-linguistic and lies in the space between text and image.
- The author also explores the emotional impact of seeing one's work replicated by AI, noting that it can be confronting and uncanny, and raises questions about how people perceive an artist's work.
- The article suggests that the use of AI in art blurs the lines between images and people, and between personhood and economic livelihood, and calls for a more nuanced understanding of these differences in discussions about AI and creativity.