Training the Eye: The Intersection of AI, Visual Literacy, and Art Historical Analysis, Prerecorded Lecture Part A and B
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Juliano-Lykins, Catherine
Colombari, Lucia
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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.