113th ACSA Annual Meeting Proceedings, Repair

AI in the Architectural History Course

Annual Meeting Proceedings

Author(s): Aaron White

Recent developments in the field of artificial intelligence, and especially the development of large language models such as ChatGPT, have raised concerns over the traditional curriculum of writing-intensive courses such as the typical architectural history survey. With tools like ChatGPT so readily able to produce text of a passable (and even more than passable) quality, and with our traditional plagiarism-detection strategies relatively ineffective against these new tools, many have questioned the value of traditional writing assignments. This paper reexamines recent (and not so recent) literature on the nature of writing before presenting the author’s own experiments with the integration of AI tools in one recent undergraduate architectural history survey as a way of weighing arguments that AI provides enhanced accessibility, interactive learning, and increased engagement.

https://doi.org/10.35483/ACSA.AM.113.57

Volume Editors
Sara Jensen Carr & Rubén García Rubio

ISBN
978-1-944214-48-7