The presence of works of art created with artificial intelligence in fine arts settings has increased dramatically over the last decade. With the widespread adoption of generative AI tools, philosophical and ethical concerns related to data privacy and intellectual property theft have arisen. Discourse around AI art is dominated by fears over the diminished role of the human artist and other negative stigmas. This research seeks to prepare arts professionals to encounter AI art by analyzing the experiences of American arts organizations who have showcased it. This thesis utilizes qualitative research methods through thematically coded and analyzed interviews with professional and creative staff at five U.S. arts organizations. The project demonstrates that professionals who worked with AI art had generally positive experiences and emphasized education and understanding of AI broadly through their programming and exhibitions. The results suggest that AI art could be a productive vehicle for stimulating discourse about the broader ethical and political implications of AI. Recommendations based on the research findings suggest that arts professionals maintain an open mind towards exhibiting AI art, while being aware of the potential to mislead audiences about the nature and capabilities of artificial intelligence. Recommendations also suggest that arts organizations take more pointed stances in the ensuing years as AI technology evolves, and gear exhibitions toward specific issues related to AI.
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Details
Title
Artists and algorithms
Creators
Nicole Benner
Contributors
Pamela Yau (Advisor)
Andrew Zitcer (Advisor)
Awarding Institution
Drexel University
Degree Awarded
Master of Science (M.S.)
Publisher
Drexel University; Philadelphia, Pennsylvania
Number of pages
v, 42 pages
Resource Type
Thesis
Language
English
Academic Unit
Arts Administration; Arts and Entertainment Enterprise; Drexel University; Antoinette Westphal College of Media Arts and Design
Other Identifier
991022057637604721
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