Art of art of art : an artistic practice with artificial intelligence

Author
Stewart, Jeremy
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Other Contributors
Lawson, Shawn A.; Chang, Ben; Crandall, Jordan; Vamos, Igor;
Date Issued
2021-05
Subject
Electronic arts
Degree
PhD;
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.; Attribution-NonCommercial-NoDerivs 3.0 United States
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URI
https://hdl.handle.net/20.500.13015/2707
Abstract
The project described in this document considers the creative possibilities enabled by artificial intelligence (AI) and machine learning (ML) technologies. We consider how these technologies can be used in an artistic practice along several different lines. First, we examine AI/ML as a tool for art making. Second, we will describe how AI/ML technologies can serve as a subject of investigation through the process of making art. Finally, we consider the effects of AI/ML technologies upon the practice of the artist. To these ends, we submit three case studies, created by the author, that make use of AI/ML technology in different ways: 2521x079, a text-generating agent that writes about AI, art, media, and philosophy; Cibo, a live-coding agent that performs musically through the generation of code; and Prometheus, a multimedia dance performance with interactive, AI-generated video.;
Description
May 2021; School of Humanities, Arts, and Social Sciences
Department
Dept. of the Arts;
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection;
Access
CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.;
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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.