"Not Human, Funnier": Leveraging Machine Identity for Online AI Stand-up Comedy
Xuehan Huang, Canwen Wang, Yifei Hao, Daijin Yang, and RAY LC.
last updated-Nov.2025
last updated-Nov.2025
Chatbots are increasingly applied to domains previously reserved for human actors. One such domain is comedy, whereby both the general public working with ChatGPT and research-based LLM-systems have tried their hands on making humor. In formative interviews with professional comedians and video analyses of stand-up comedy in humans, we found that human performers often use their ethnic, gender, community, and demographic-based identity to enable joke-making. This suggests whether the identity of AI itself can empower AI humor generation for human audiences. We designed a machine-identity-based agent that uses its own status as AI to tell jokes in online performance format. Studies with human audiences (N=32) showed that machine-identity-based agents were seen as funnier than baseline-GPT agent. This work suggests the design of human-AI integrated systems that explicitly utilize AI as its own unique identity apart from humans.
Paper
The ACM Conference on Human Factors in Computing Systems (CHI’ 26)
