Marian Mazzone

Professor

Education

Miami University (Ohio): BA History

University of Arizona: MA Art History

The Ohio State University: PhD Art History

Research Interest

I am a specialist in modern and contemporary art, teaching on art from the 19^th century to today. Most of my research now is focused on AI uses in digital art and computer science applications to art and art history. Over the last several years, I have been working as a member of his Art & Artificial Intelligence Lab, Rutgers University. Our work has two main emphases: creativity in machine learning, and neural network analysis of art historical styles and patterns of visual characteristics for prediction. Another area of interest is the work of Frida Kahlo (I’ve written a novel on her life) and Diego Rivera; leading to regular study abroad trips with students to Mexico City.

Courses Taught

ARTH 102 History of Art from Renaissance through Modern
ARTH 287 New Media in Contemporary Art
ARTH 299 Research and Methods in Art History

ARTH 389 19th Cent European Art
ARTH 390 20th Cent European Art
ARTH 391 Contemporary Art

on Steering Committee for Computing in the Arts major, see CITA

Selected Publications

“Sound and Image in New Media Art,” book chapter in Teaching Electronic Music: Cultural, Analytical, and Creative Perspectives, editor Blake Stevens.. Routledge, 2021.

“Artists, Artificial Intelligence and Machine-based Creativity in Playform,” Artnodes: e- journal of art, science and technology, No. 26 (2020): pp. 1-8. http://doi.org/10.7238/a.v0i26.3366

“GANS and Creativity Issues in Art and Artificial Intelligence,” invited chapter to book Be my GAN: a philosophical approach to AI and Art. Jaca Book, Milano 2020. (In Italian).

“Andy Warhol: Computational Thinking, Computational Process,” Leonardo: Journal of the International Society for the Arts, Sciences and Technology, Vol. 53, no. 2 (2020): pp. 179-82. https://doi.org/10.1162/LEON_a_01574

Mazzone, Marian & Elgammal, Ahmed. (2019). “Art, Creativity, and the Potential of Artificial Intelligence,” Arts 8. 10.3390/arts8010026. https://doi.org/10.3390/arts8010026

“CAN: Creative Adversarial Networks, Generating ’Art’ by Learning about Styles and Deviating from Style Norms”, Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone. posted to arXiv at arXiv:1706.07068v1 (2017)

Press & Media

June 5, 2021. AI Agents (University of Adelaide, Australia) Podcast. “When AI Writes the History Books.” Solo interview on my work with art and artificial intelligence.

Available here: https://podcasts.apple.com/us/podcast/ai- agents/id1545574641?i=1000524307787

“Art and Artificial Intelligence”, panel conversation/interview on NPR’s program 1A, January 10, 2023. https://the1a.org/segments/listener-picks-art-and-artificial-intelligence/ 

“AI-Generated Art: Boom or Bust for Human Creativity?”, panel discussion, Center for Data Innovation, March 23, 2023. Available on Youtube: https://www.youtube.com/live/9CGd8hK847Q?feature=share