The article “Toward Automated Discovery of Artistic Influence” has generated much press, if not controversy, on certain uses of vision technology that is reflective of the findings from our surveys. On the whole, art historians had negative feelings toward the general concept of using artificial intelligence to examine art, whereas computer scientists, not surprisingly, were mostly positive about this application. For an analysis on the increasingly debated use-value of the development of this research in art history, we refer the reader to the article “The Digital Humanities Unveiled.”
Mohana Ravindranath, “Computer Science Putting Art Analysis on Faster Track,” The Washington Post, Nov. 10, 2014.
Mohana Ravindranath, “Can an algorithm tell us who influenced an artist?” The Washington Post, Nov. 9, 2014.
Serpil Yildaz, “Sanat Tarihçisi Olmaya Aday Bilgisayar Programi,” Bilim Ofisi, Oct. 16, 2014 (in Turkish).
Antonio Martínez Ron, “Este algoritmo quiere ser crítico de arte,” Vozpópuli, Oct. 16, 2014 (in Spanish).
Meghan Rosen, “Computer program reveals artists’ influences,” Science News, Oct. 13, 2014.
Mostafa Heddaya, “Seeing Art History with Machine Eyes,” Hyperallergic, Aug. 26, 2014.
Zach Sokol, “An Intelligent Algorithm Made A Discovery That Slipped Past Art Historians For Years,” The Creators Project, Aug. 26, 2014.
Griselda Pollock, “Computers can find similarities between paintings—but art history is about so much more,”The Conversation US, Aug. 22, 2014.
Matthew Sparkes, “Could Computers Put Art Historians Out of Work?” The Telegraph, Aug. 18, 2014.
“When A Machine Learning Algorithm Studied Fine Art Paintings, It Saw Things Art Historians Had Never Noticed,” The Physics arXiv Blog, Aug. 18, 2014.