Shi Danqing

Academic Director of Teaching

Affairs Office, Academy of Arts &

Design, Tsinghua University

师丹青

清华大学美术学院教务办学术主任

Clement Valla

克莱门特·瓦拉

美国罗德岛设计学院实验和

基础研究院院长

Benjamin Stopher

本杰明·斯托弗

英国诺里奇艺术大学副校长

设计与传播学教授

Deputy Vice - Chancellor and Professor

of Design and Communication, Norwich

University of the Arts

The Future of Human - Machine

Synergy

人机图景

AI Imagination, Inclusive World and

Creative Education

Professor Clement Valla, drawing on his teaching experience at the Rhode Island School of Design, noted that human - machine synergy is not only a new frontier in art and design education, but also reveals the creative tension between humans and machines.“The clash between carbon - based and silicon - based lives opens up a space worth exploring for art and design… It suggests that approaches such as machinic and material ecologies can offer a lens through which to examine technology as a tool.” He advocates for integrating core principles of computation into flexible curricula, using the human-machine interface as a bridge to explore the boundless possibilities where uncertainty and personalization coexist.

Professor Benjamin Stopher emphasized that the development of human - machine synergy can elevate creativity to a new dimension. Through working with computational technologies, humans can reshape the notion of authorship and enhance the value chain of the creative industries. By embracing inclusive practices, we can explore the future of technology and achieve a deep integration of human values with computational experiences.

"Since creativity and human expressiveness are key to technological development, we must foster creativity, and education must engage with the material realities of computation. For talents with creativity, it is essential to cultivate their ability to envision technological futures — and to equip them with a strong belief in what lies ahead."

克莱门特·瓦拉教授结合自己在罗德岛设计学院的任教经历,表示人机协同既是艺术与设计教育的新方向,也揭示了人与机器的创造性的张力。“碳基与硅基的冲撞,这对艺术和设计来说,也是值得探索的空间....这意味着采用机器与物质生态学的方法,可以作为一种视角,用于探索技术作为工具时的应用。”他主张,在灵活课程中融合计算核心原则,以人机界面为桥梁,探索不确定性与个性化共生的无限可能性。

本杰明·斯托弗教授指出,人机协同发展能够推动创造力升维,人类通过与计算技术协作，可以重塑作者身份,提升创意产业价值链,以包容性实践探索技术的未来,实现人类价值与计算体验的深度融合。“(因为)创造力和人的表现力是技术发展的关键,所以我们需要创造性,教育必须要参与计算的“物质现实’,对于具备创造力的人才,应当培养其构建技术愿景的能力,并对未来持有坚定信念。”

Tan Hao

Vice Dean of the School of Design

and Art, Hunan University

谭浩

湖南大学设计艺术学院副院长

Horst Hortner

Senior Director and Co - Founder of

Ars Electronica Futurelab, CTO of

Ars Electronica

霍斯特·霍特纳

奥地利林茨电子艺术节艺术总监

未来实验室高级总监、联合创始人

Design Education and Research in

the Era of Rapid AI Development

Drawing on the development of the School of Design and Art at Hunan

University and the broader context of China’s industrial shift from “Made in

China” to “Created in China,” Professor Tan Hao analyzed transformation

strategies for design education in the face of rapid AI development. “What

is crucial is how, from a design perspective, we can contribute to the

sustainable development of humanity within the current technological

landscape — this includes impacts on human society, culture, and the

social sciences.” He advocated for problem - oriented design education

that treats AI both as a material and an object of design. Through in-depth

research and innovative practice, design can play a vital role in advancing

the sustainable development of society and culture.

谭浩教授结合湖南大学设计艺术学院的发展实例,结合由“中国制造”到“中国创造”的产业转型发展背景,分析了当下AI迅猛发展中设计教育的转型策略。“至关重要的一点在于,在当前技术背景下,从设计的视角出发,如何对人类的可持续发展作出贡献,这包括对人类社会及其文化、社会科学等领域的影响。”倡导设计教育应以问题为导向,将AI视为设计材料和对象,通过深度研究和实践创新,推动人类社会和文化的可持续发展。

Co - evolving with AI

与AI同行

As one of the co - founders of the Futurelab at Ars Electronica — the

world’s most renowned event that brings together art and science — Mr.

Horst Hortner shared his experiences in scientific exploration,

technological application, and artistic expression. He emphasized that

human-machine co - creation will go beyond dataset-driven art forms,

enabling the transformation of technological logic into artistic practices

infused with human intention and social meaning. This paves the way for

the deep integration of science, technology, and art.

"We humans advance through imitation, while machines evolve through

exploration. Science creates knowledge; technology creates possibilities;

but only art creates meaning."

霍斯特·霍特纳先生作为世界最负盛名的艺术科学交叉盛会:Ars Electronica(林茨电子艺术节)所开设的未来实验室的联合创始人之一,分享了通过科学探索、技术应用和艺术表达的过往经历,并指出人机协同创造将超越“数据集和”的艺术形式,并能将技术逻辑转化为具有人类意图与社会意义的艺术实践,实现科学、技术与艺术的深度融合。

“我们(人类)在模仿中进步、机器也在探索中进化。科学创造知识、技术创造可能性,但是(只有)艺术才能够创造意义。"

Dong Shubing

Vice Dean of the Academy of Arts

& Design, Tsinghua University

董书兵

清华大学美术学院副院长

Guido Tattoni

Dean of Nuova Accademia di Belle

Arti (NABA)

吉多·塔托尼

意大利米兰新美术学院（NABA）院长

Wilderness Art Project: Cross - Dimensiona

Innovation in Sculptural Practice Through Human– Machine Synergy 

荒野艺术计划：人机协同在雕塑艺术实践中的跨纬度创新

董书兵教授在演讲中结合个人研究与创作指出,通过人机协同创作,结合数字技术与传统艺术,推动艺术创作方式的跃进与实践验证,并表示“不管科技再发达,不管是人工智能、数字技术,其实我们还要给我们的后代留下未来的遗产,不能只是停留在屏幕当中,不能只是停留在硬盘当中。”从而实现跨时空语境的艺术表达。

The Babel Machine: Driving the

Continuity of Italian Dialects

Professor Guido Tattoni introduced his talk with practical cases from his

own research on human – machine synergy, demonstrating how machine

learning and voice morphing technologies can be used to explore the

continuity and evolution of dialects. He discussed the potential of artificial

intelligence in artistic creation, enabling dynamic expressions of cultural

heritage and diversity, while reflecting on the relationship between

technology and artistic authorship.“For scientists, they understand that

technology itself carries neither artistic intent nor creative purpose. Yet,

the use of existing AI technologies and resources has produced results

that far exceed expectations. So, who should be considered the true

author of these works?”

吉多·塔托尼教授以个人研究中人机协同的实践案例切入,展示了通过机器学习和声音变形技术,探索方言的连续性与演变的可能性,探讨了人工智能在艺术创作中的可能性,实现文化的传承与多样性的动态表达,同时反思技术与创作者主体性的关系。“对于科学家来说,他们明白技术本身并无任何艺术的意图,也没有创作目的。然而,所利用现有AI技术与资源创造了远超预期的结果,这些艺术作品的创作者应该是谁呢?

Bogki Min

Deputy Dean of the College of Fine

Arts, Seoul National University

闵复基

韩国首尔大学美术学院副院长

Carbon& Silicon: Co-evolution or Self?

-Reinforcing Bias?

闵复基教授指出，人类与人工智能的协同进化带来艺术与设计的新可能性，但需警惕自我强化的偏见，重新定义创造力与艺术家的角色，以实现技术与文化的良性融合：“现在艺术家就是可以从创作者的角色当中退出来，转而专注于定义他的总体美学，并且为人工智能提供画画的算法。从这个意义上来说，艺术家转变为人工智能艺术家的创作者，制定指导人工智能艺术表达的原则。”