[Paper Review] AI Acceptance Among Cultural Arts Professionals

AI has two faces in cultural arts: a powerful tool expanding creative limits and an ethical concern about copyright and invasion of human-unique domains — creating psychological anxiety. Research paper: "Study on Factors Affecting Cultural Arts Workers'' Intention to Accept Artificial Intelligence Technology" (Park Sang-wook, Jo Hui-young, 2024). Extended TAM (Technology Acceptance Model) framework incorporating: playfulness (fun, enjoyment, curiosity); innovation resistance (psychological barriers to change); emotional trust; perceived usefulness; perceived ease of use. Key findings: (1) Perceived usefulness is the strongest predictor of acceptance intention — cultural arts workers who see concrete ways AI helps their work are most likely to adopt; (2) Emotional trust (believing AI will support rather than replace human creativity) significantly affects acceptance; (3) Innovation resistance mediates the relationship between anxiety about AI and actual usage intention — reducing innovation resistance through successful exposure experiences matters more than addressing risk perceptions directly; (4) Surprising finding: perceived risk (danger of AI) does NOT have statistically significant effect on usage intention — concern about AI risk does not translate to reduced usage intention, suggesting artists are pragmatic about risk when they see utility; (5) Playfulness alone does not lower resistance or increase acceptance — being "fun to use" is insufficient without perceived professional utility. Policy implication: government/institutional support for cultural arts workers should focus on demonstrating specific professional benefits (efficiency, capability expansion) rather than emphasizing safety or fun; peer success stories from fellow artists carry more weight than abstract assurances; structured experimentation programs with evaluation criteria defined by artists themselves would likely be most effective.