Towards a Diffractive Analysis of Prompt-Based Generative AI

要旨

Recent developments in prompt-based generative AI has given rise to discourse surrounding the perceived ethical concerns, economic implications, and consequences for the future of cultural production. As generative imagery becomes pervasive in mainstream society, dominated primarily by emerging industry leaders, we encourage that the role of the CHI community be one of inquiry; to investigate the numerous ways in which generative AI has the potential to, and already is, augmenting human creativity. In this paper, we conducted a diffractive analysis exploring the potential role of prompt-based interfaces in artists' creative practice. Over a two week period, seven visual artists were given access to a personalised instance of Stable Diffusion, fine-tuned on a dataset of their work. In the following diffractive analysis, we identified two dominant modes adopted by participants, AI for ideation, and AI for production. We furthermore present a number of ethical design considerations for the future development of generative AI interfaces.

著者
Nina Rajcic
Monash University, Melbourne, VIC, Australia
Maria Teresa Llano Rodriguez
Monash University, Melbourne, Victoria, Australia
Jon McCormack
Monash University, Melbourne, Victoria, Australia
論文URL

https://doi.org/10.1145/3613904.3641971

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Sensemaking with AI B

323C
5 件の発表
2024-05-16 20:00:00
2024-05-16 21:20:00