Computer scientists developing computer vision models have inadvertently adopted methods similar to art historians, according to researcher Amanda Wasielewski. She explains that these scientists, in their pursuit of understanding visual data, are essentially performing a type of rogue art historical analysis. Conversely, art historians are finding machine learning to be a powerful asset in their own research, aiding in tasks such as identifying forgeries and organizing vast collections of artwork. The conversation also touched upon how generative AI prompts new philosophical questions about the nature of photography. AI
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RANK_REASON This is a commentary piece discussing the intersection of computer science and art history, featuring an interview with a researcher.
