Art, Artifice & Intelligence: A UK-Japan partnership exploring art and AI

艺术、技巧

• 批准号: ES/S014128/1
• 负责人: Atau Tanaka
• 金额: $ 6.36万
• 依托单位: Goldsmiths University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FS014128%2F1
• 关键词: Art; Artifice; Intelligence; UK; Japan

Technologies of artificial intelligence are an increasing part of our everyday lives. Neural networks and deep learning find application in vast areas such as the financial markets and weather prediction. We are told that many traditional kinds of jobs may be in danger of being replaced by automation. Artificial intelligence can emulate human decision making, and software programmes can now beat chess masters. AI research in the UK and Japan are at the forefront of international advancement in the field. Programmes by London companies like DeepMind take the chess example to the next level of complexity by playing the ancient Japanese game of Go. In Japan, advanced robots that take on humanoid form have been deployed in healthcare settings such as minding older people.While AI and automation might better human chess players or risk to replace jobs, they can be seen as a partner in dialogue with human activity. This is seen in a compelling way in the world of art. While computer programmes have been created to generate visual images and algorithmically compose music, it is in partnership with a human artist that new forms of art can emerge. If an AI algorithm becomes part of the creative palette of an artist, what kinds of new work emerge? For an artist to be able to harness these advanced technologies, how do they need to be configured? Is the human artist a partner, master, or mere operator? How do these new techniques change our aesthetic sense and challenge what might constitute a work of art or piece of music? The Art, Artifice & Intelligence project brings together leading research labs from the UK and Japan to foster new partnerships to explore the creative potential of artificial intelligence in art and music. The Embodied Audiovisual Interaction (EAVI) unit from Goldsmiths, University of London, will lead the project in partnership with the SACRAL artificial life laboratory of the University of Tokyo and the Faculty of Design at Kyushu University. The project will facilitate exchange of academics, young researchers, and students between the UK and Japan to share knowledge and best practices in harnessing AI technologies in creative settings. The project activities will take place in a series of workshops - two in Japan and one in London - and in a 3-month residency for a young UK researcher to develop a new project in Japan. The results of the project will be presented to general audiences in public exhibition/performance events in London, and in Japan. We will work with cultural institutions such as the Barbican in London and the Yamaguchi Center for Art & Media (YCAM). The project will be a trigger for future large scale collaborations in art and AI between the UK and Japan, and bring to the public eye the rich histories, technologies, and critical perspectives that underpin our present-day fascination with artificial intelligence.

人工智能技术日益成为我们日常生活的一部分。神经网络和深度学习在金融市场和天气预报等广泛领域都有应用。我们被告知，许多传统工作可能面临被自动化取代的危险。人工智能可以模仿人类的决策，软件程序现在可以击败国际象棋大师。英国和日本的人工智能研究处于该领域国际进步的前沿。 DeepMind 等伦敦公司的程序通过玩古老的日本围棋游戏，将国际象棋示例的复杂性提升到了一个新的水平。在日本，具有人形形态的先进机器人已被部署在医疗保健环境中，例如照顾老年人。虽然人工智能和自动化可能会比人类棋手更好，也可能会取代工作岗位，但它们可以被视为与人类活动对话的伙伴。这在艺术界以一种令人信服的方式体现出来。虽然计算机程序已经被创建来生成视觉图像并通过算法创作音乐，但只有与人类艺术家合作，新的艺术形式才能出现。如果人工智能算法成为艺术家创意调色板的一部分，会出现什么样的新作品？为了让艺术家能够利用这些先进技术，需要如何配置它们？人类艺术家是合作伙伴、大师，还是仅仅是操作者？这些新技术如何改变我们的审美意识并挑战艺术品或音乐作品的构成要素？艺术、技巧与智能项目汇集了英国和日本的领先研究实验室，以培养新的合作伙伴关系，探索人工智能在艺术和音乐领域的创造潜力。伦敦大学金史密斯学院的实体视听交互（EAVI）部门将与东京大学 SACRAL 人工生命实验室和九州大学设计学院合作领导该项目。该项目将促进英国和日本之间的学者、年轻研究人员和学生的交流，分享在创意环境中利用人工智能技术的知识和最佳实践。该项目活动将通过一系列研讨会进行——两次在日本，一次在伦敦——以及一名年轻的英国研究人员在日本开发一个新项目的为期 3 个月的驻留项目。该项目的成果将在伦敦和日本的公共展览/表演活动中向广大观众展示。我们将与伦敦巴比肯艺术中心和山口艺术与媒体中心（YCAM）等文化机构合作。该项目将引发英国和日本未来在艺术和人工智能领域的大规模合作，并将丰富的历史、技术和批判视角带入公众视野，这些都支撑着我们当今对人工智能的迷恋。