Daniel Ashton
Papers
1
Total Citations
14
H-Index
1
About
Daniel Ashton is a leading scholar at the intersection of creative work, cultural identity, and emerging technologies. His research critically examines how automation and artificial intelligence are reshaping notions of artistic expertise, professional identity, and value in the creative industries. In his most-cited work, “People don’t buy art, they buy artists”: Robot artists – work, identity, and expertise (2024, 14 citations), Ashton provides a groundbreaking analysis of Ai-Da, the world’s first ultra-realistic humanoid robot artist. Drawing on posthumanist theory and studies of creative assemblages, he interrogates how Ai-Da’s constructed persona challenges traditional understandings of authorship, authenticity, and career-making in art. This work has been instrumental in sparking debate among scholars of cultural work, digital humanities, and AI ethics. Ashton’s broader contributions include mapping the evolving dynamics of creative labor in an era of intelligent machines, making his research essential reading for students and researchers exploring the future of work, identity, and expertise in the arts.
Research Focus
Key Achievements
Top Papers
- 1