对人工智能在艺术作品中的运用的思考

I Made Marthana Yusa, Yu Yu, T. Sovhyra
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引用次数: 1

摘要

目的:本文旨在反思人工智能(AI)在艺术作品中的使用,研究其对创作过程、美学和受众接受的影响,然后对人工智能在艺术作品中的使用进行批判性反思,研究其潜在的好处和缺点,并探讨所涉及的伦理考虑。本文探讨了人工智能在艺术作品中的应用,重点是方法和案例研究,展示了这一新兴领域的潜力和挑战。研究方法:本文介绍了使用人工智能的著名艺术品的案例研究,讨论了人工智能在艺术中的潜在好处和缺点,并探讨了所涉及的伦理考虑。通过对文献的回顾和对六个案例研究的分析,我们探索了人工智能生成艺术的美学、技术和社会维度,以及围绕其生产和接受的伦理和批判性辩论。研究结果:论文最后强调了批判性参与的重要性,并持续反思人工智能在艺术中的应用。我们的研究结果表明,人工智能可以提供创造性表达和参与的新模式,但也提出了关于人类在艺术过程中的作用和解释的问题。启示:人工智能生成的艺术为艺术家、学者和观众提供了新的机遇和挑战,未来的研究应侧重于制定道德准则,探索合作实践,并研究基于人工智能的艺术的社会和政治影响。人工智能生成艺术的案例研究可以帮助我们了解这一领域的潜力和局限性,通过提供如何使用人工智能来创造艺术的具体例子,以及艺术家和观众如何参与这些作品。这些研究可以深入了解人工智能生成艺术的创作过程、技术挑战和社会影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
REFLECTIONS ON THE USE OF ARTIFICIAL INTELLIGENCE IN WORKS OF ART
Purpose: This paper aims to reflect on the use of Artificial Intelligence (AI) in works of art, examining its impact on the creative process, aesthetics, and audience reception, then provide a critical reflection on the use of AI in works of art, examining its potential benefits and drawbacks and exploring the ethical considerations involved. The paper examines the use of AI in works of art, with a focus on the methodologies and case studies that demonstrate the potential and challenges of this emerging field. Research methods: The paper presents case studies of notable artworks that utilize AI, discusses the potential benefits and drawbacks of AI in art, and explores the ethical considerations involved. Through a review of the literature and analysis of six case studies, we explore the aesthetic, technical, and social dimensions of AI-generated art, as well as the ethical and critical debates surrounding its production and reception. Findings: The paper concludes by emphasizing the importance of critical engagement and continued reflection on the use of AI in art. Our findings suggest that AI can offer new modes of creative expression and engagement, but also raise questions about the role of human agency and interpretation in the artistic process. Implications: AI-generated art offers new opportunities and challenges for artists, scholars, and audiences, and that future research should focus on developing ethical guidelines, exploring collaborative practices, and examining the social and political implications of AI-based art. Case studies of AI-generated art can help us understand the potentials and limitations of this field by providing specific examples of how AI is being used to create art, and how artists and audiences are engaging with these works. These studies can provide insights into the creative processes, technical challenges, and social implications of AI-generated art.
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