This article, "How is Artificial Intelligence Changing Art History?" by Verity Babbs, covers the DALL-E 2 AI which generates images based off of a text prompt. This AI is fed many samples and can generate images in the styles of famous artists. However, one of the issues that comes with it is the dataset fed. This dataset consists of many biases, as the majority of famous artists in history have been white males, as well as an overabundance of very similar art styles like impressionism and surrealism. While some do not accept DALL-E 2's images as part of art history, others think it should be incorporated into the arts education curriculum. I feel that DALL-E 2 should be a part of art history, as a paradigm shift in how art is considered. A major debate in the arts world is whether or not AI is creating new art or merely trying to replicate art that has already been created. While the subjects may be different, AI only generates based off of other artists. 

This article, "Can machines do art history?", details both the aspects where machines succeed, and where they fail in analyzing art. This type of AI uses image processing software, and in particular, a CNN (convolutional neural network). This type of software isolates specific groups of pixels in the image together. When trained, the algorithm can then recognize patterns and brushstrokes, then attribute paintings and styles to artists. However, it has been said that these algorithms should not be used for attribution. Whether they should never be used or are only currently inadequate is left to be seen. Algorithms can also only analyze objectively and visually, without any other background knowledge. There is also the subject that much of the algorithm's process is unknown; we do not know how it is able to reach conclusions. I think that while AI will inevitably grow stronger at attribution and visual analysis, there is no way for it to perform analysis on the meaning of a painting. AI relies on the visual aspects of a painting, and analysis requires other context and knowledge that the visuals do not cover. There will be aspects it excels in, however, ultimately there will also be tasks it can't do.