Balancing Art and Science: Guiding the Responsible Use of AI Systems in the Context of Art
2024-05
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Balancing Art and Science: Guiding the Responsible Use of AI Systems in the Context of Art
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2024-05
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This thesis examines the transformative role of Artificial Intelligence in the realm of art, exploring its capabilities as both a creative tool and a disruptive force. It situates AI within the historical context of technological impacts on art, analyzing how AI redefines artistic processes, challenges traditional practices, and raises ethical questions. Through an examination of AI’s applications across various art forms, this study not only highlights the innovative potential of AI but also addresses the critical ethical implications it poses in art creation.Central to this thesis is the development of an ethical framework tailored for people integrating AI into their artistic processes. This framework provides guidance on maintaining artistic integrity while leveraging AI’s capabilities for novel artistic expression. The thesis further discusses the broader cultural impacts of AI in art, particularly its potential to democratize artistic creation and its risks, such as the undermining of authenticity and originality.
The contributions of this research are threefold: it delineates AI’s role as a powerful catalyst in the creation of new art forms; it develops a comprehensive set of ethical guidelines for using AI in art; and it assesses AI’s cultural impact, advocating for responsible engagement with AI technologies in the art community. The study calls for ongoing dialogue and adaptive ethical practices as AI technologies continue to evolve. This research aims to equip artists with the insights necessary to navigate the evolving intersection of AI and art responsibly.
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University of Minnesota M.S. thesis. May 2024. Major: Computer Science. Advisor: Maria Gini. 1 computer file (PDF); vi, 59 pages.
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Raines, Aaron. (2024). Balancing Art and Science: Guiding the Responsible Use of AI Systems in the Context of Art. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/269176.
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