Art in the Era of Algorithms: Is Generative AI a Friend or Foe for 2D Artists?
This research investigates the transformative impact of AI technologies such as DALL-E, ChatGPT, and other generative AI tools on the arts, particularly focusing on their implications for 2D artwork. These advancements have democratized the creation of 2D art, making it more accessible, but they have also raised concerns about the value of original talent and the potential impact on careers in the arts. The study employs the Technology Acceptance Model (TAM) to evaluate the acceptance and impact of generative AI among individuals in creative fields, including students, lecturers, and professionals. Data collected from 127 respondents through structured surveys indicate high levels of engagement with generative AI, reflecting significant curiosity and usage rates. Analysis using SmartPLS 4.0 Tools validated the initial research model, demonstrating that generative AI significantly influences perceived usefulness, perceived ease of use, and behavioral intention in 2D art creation. These findings underscore the critical need to consider AI's evolving role in the arts, its impact on perceptions of creativity and talent, and its broader implications for the creative industry. The study tested seven hypotheses, with six accepted and one rejected. This indicates that while factors like user computer self-efficacy and quality information significantly influence the perceived usefulness and ease of use of generative AI, ease of use alone does not necessarily lead to a positive attitude towards its use. However, perceived usefulness significantly contributes to a positive attitude towards using generative AI. Additionally, a positive attitude towards generative AI influences the behavioral intention to use it, thereby enhancing skills and providing inspiration for creating artwork.
Authors
- Sudiana
- Frandi Hartato
- Jovan Yahya
- Liem Enrico Christiano Hartono
Institutions
- Binus University (ID)
Publication Details
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1109/isemantic63362.2024.10762540
- Citations
- 2
- Primary Topic
- Aesthetic Perception and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.69