Juliette Love
Papers
1
Total Citations
33
H-Index
1
About
Juliette Love is a pioneering researcher at the intersection of artificial intelligence, computational creativity, and the performing arts. Her work explores how large language models (LLMs) can serve as creativity support tools, with a particular focus on humor generation and alignment with human artistic practice. In her landmark 2024 study, "A Robot Walks into a Bar," Love conducted in-depth workshops with twenty professional comedians at the Edinburgh Festival Fringe, examining how LLMs can augment comedic writing while preserving authentic human voice. This work, already garnering 33 citations, represents a novel empirical bridge between AI research and live performance. Love’s major contribution lies in demonstrating that effective human-AI collaboration in creative domains requires deep understanding of practitioners' workflows, not just technical capability. Her findings challenge simplistic notions of AI replacing human creativity, instead revealing nuanced pathways for co-creation. By bringing rigorous qualitative methodology to bear on questions of computational humor and artistic integrity, Love has opened new avenues for studying AI alignment in culturally significant, high-stakes creative contexts. Her research continues to influence both AI developers and artists seeking meaningful technological partnerships.
Research Focus
Key Achievements
Top Papers
- 1