Training the Eye: The Intersection of AI, Visual Literacy, and Art Historical Analysis, Prerecorded Lecture Part A and B

dc.contributor.author	Juliano-Lykins, Catherine
dc.contributor.author	Colombari, Lucia
dc.date.accessioned	2026-08-07T17:51:31Z
dc.date.available	2026-08-07T17:51:31Z
dc.date.issued	2025-09-16
dc.description	In Part A of this pre-recorded lecture, and overview of artificially generated images is provided, including a technical overview and the most pressing concerns regarding its use and consumption, such as the issue of a biased dataset, environmental and legal concerns, and issues of the production and spreading of misinformation and disinformation. With the later issue in mind, we suggest using art-historical methods as a tool to improve visual literacy skills and detect falsehoods and biases within AI images. The second part of this pre-recorded lecture, Part B, encourages audiences to practice using formal analysis and contextual/historical analysis to both detect artificially generated images and identify misinformation within them.
dc.description.peerreview	No
dc.identifier.uri	https://shareok.org/handle/11244/342858
dc.language	en_US
dc.subject	AI Images
dc.subject	Artificial Intelligence
dc.subject	Generative AI
dc.subject	Art History
dc.subject	Visual Analysis
dc.subject	Visual Literacy
dc.title	Training the Eye: The Intersection of AI, Visual Literacy, and Art Historical Analysis, Prerecorded Lecture Part A and B
dc.type	Recording, oral
dc.type	Video
dc.type	Presentation
ou.group	Weitzenhoffer Family College of Fine Arts