机械代理：计算创造力中的人机关系
Machinic Surrogates: Human-Machine Relationships in Computational Creativity
摘要：
人工智能（AI）及其子分支机器学习（ML）的最新进展使机器超越了自动化的界限，并自主运行。这些机器在艺术和设计等创造性实践中的应用需要用户和机器之间的关系，这种关系被描述为计算和人类代理之间的合作或共同创造的形式。本文使用艺术和设计的例子来论证这个框架是不完整的，因为它没有承认人工智能系统的社会技术性质，以及参与其设计，实施和操作的不同人类机构。本文将人工智能工具在自动化和自主化之间的创造性实践中的应用置于自动化和自主化之间，区分了被认为是自动化或自主化的系统引起的不同类型的人类参与。回顾20世纪后期的艺术合作模式，它表明合作是这些艺术实践的核心。我们建立在不断增长的机器学习和艺术文献的基础上，寻找在计算创造力的作品中铭刻的人类机构，并扩展共同创造框架，以纳入通过技术工件（如算法和数据）介导的新兴形式的人类协作。
英文摘要：
Recent advancements in artificial intelligence (AI) and its sub-branch machine learning (ML) promise machines that go beyond the boundaries of automation and behave autonomously. Applications of these machines in creative practices such as art and design entail relationships between users and machines that have been described as a form of collaboration or co-creation between computational and human agents. This paper uses examples from art and design to argue that this frame is incomplete as it fails to acknowledge the socio-technical nature of AI systems, and the different human agencies involved in their design, implementation, and operation. Situating applications of AI-enabled tools in creative practices in a spectrum between automation and autonomy, this paper distinguishes different kinds of human engagement elicited by systems deemed automated or autonomous. Reviewing models of artistic collaboration during the late 20th century, it suggests that collaboration is at the core of these artistic practices. We build upon the growing literature of machine learning and art to look for the human agencies inscribed in works of computational creativity, and expand the co-creation frame to incorporate emerging forms of human-human collaboration mediated through technical artifacts such as algorithms and data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
