Autonomy, Authenticity, Authorship and Intention in computer generated art
Autonomy, Authenticity, Authorship and Intention in computer generated art
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计算机生成艺术中的自主性、真实性、作者身份和意图
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
P. Hutchings
中科院分区：
文献类型：
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作者：
J. Mccormack;Toby Gifford;P. Hutchings
本文探讨了围绕计算机生成艺术的五个关键问题。在最近“人工智能艺术”作品公开拍卖的推动下，我们有选择地总结了数十年来围绕计算机生成艺术的自主性、真实性、作者身份和意图等主题的研究和评论，并利用这项研究来回答与这些主题相关的计算机艺术创作的当代常见问题。我们还反思了深度学习和生成对抗网络的当前技术是否显着改变了数十年先前研究提供的答案。
This paper examines five key questions surrounding computer generated art. Driven by the recent public auction of a work of “AI Art” we selectively summarise many decades of research and commentary around topics of autonomy, authenticity, authorship and intention in computer generated art, and use this research to answer contemporary questions often asked about art made by computers that concern these topics. We additionally reflect on whether current techniques in deep learning and Generative Adversarial Networks significantly change the answers provided by many decades of prior research.