Sven Travis is founder and sometimes director of the MFA Design + Technology programs at Parsons School of Design in New York. Design + Technology is one of the world’s leading digital media programs (the openFrameworks creative coding toolkit was initiated within DT at Parsons). Travis has taught and administered at Parsons for thirty years, where he is Associate Professor of Computational Media. He was the founding (now former) Dean of the School of Art, Media, and Technology at Parsons, and has served as Parsons Director of Advanced Computing, as Chair of Parsons Digital Design Department (which he founded), as Director of Parsons Center for New Design (which he co-founded), and as The New School Associate Provost for Technology R&D. Travis has been instrumental in the development of digital technology as a central element of Parsons curriculum. He has developed courses such as “Creativity and Computation” integrating computer programming and physical computing into the design environment. He is currently working to expand the Parsons Computer science curriculum by creating courses on the creative applications of artificial intelligence and machine learning. Travis has worked extensively in China, partnering with Tsinghua University, CAFA, CAA, Tongji University, and SIFA (Chongqing) among others. He and Parsons DT actively seek new partners.

Sven Travis是纽约帕森斯设计学院“设计与技术”艺术硕士专业的创办人，曾任该专业学科带头人。帕森斯“设计与技术DT”专业在数字媒体领域闻名全球，著名的openFrameworks创意编程工具便是由帕森斯学院DT专业所开发。Travis在帕森斯学院从事教学及管理工作达三十余年，目前担任计算媒体专业副教授。他曾当任帕森斯设计学院艺术、媒体与技术学院的首任院长，先进计算帕森斯主任、帕森斯数字设计系主任（创始人）、帕森斯新设计中心主任（联合创始人），纽约新学院大学（The New School）主管技术研发的副教务长。Travis一直致力于推动数字技术成为帕森斯学院课程的核心要素。他研发了“创造力与计算”等课程，将计算机编程和物理计算整合到了设计环境之中。目前，他正致力于研发人工智能与机器学习的创意应用相关课程，以拓展帕森斯学院计算机科学的课程体系。

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Title and Synopsis of the presentation
报告主题及摘要

Keyshot Title: Artificial Intelligence and Computer Science Training for the Designer- Challenges of Teaching AI and CS Within the Design Environment
报告题目：面向设计师的人工智能与计算机科学培训——在设计环境下开展人工智能与计算机科学教学所面临的挑战

With the rapid rise of artificial intelligence, the designer faces radical new technical challenges. For decades we have discussed the power and importance of teaching designers to code (computer programing). We have worked hard to erase the gap between the aesthetic (design) and the technical (computer science)—suggesting that “creative technologists” are the ideal new designer. Now AI presents even greater challenges. Designers must still learn computer programming, algorithmic thinking, data structures, and digital systems, but in addition they need to understand machine learning and other important aspects of artificial intelligence. With AI we face a learning paradigm that is more complicated but may possibly have an unexpected relationship to well established design process and design education. Why is it that effective AI researchers are so rare? Is it possible that fluency in ideation, iterative prototyping, and user testing prepares the designer for the creative application of new artificial intelligence techniques such as neural networks, evolutionary algorithms, and machine learning? Parsons Design+Technology is establishing new research projects and courses in the creative applications of machine learning and artificial intelligence that experiment with this interesting and important new approach. This talk will present current examples from Parsons DT curriculum demonstrating fascinating parallels between computer science, artificial intelligence, and the creative design process.

随着人工智能的快速崛起，设计师正面临全新的技术挑战。数十年来，我们一直在探讨针对设计师进行编程教学的作用与重要性。我们努力消除美学（设计）与技术（计算机科学）之间的隔阂，倡导最好的新设计师应当是“创意技术专家”。如今，人工智能带来了更巨大的挑战。设计师不仅仍需学习计算机编程、算法思想、数据结构和数字系统，还需了解机器学习和其他人工智能的重要领域。人工智能问世之后，我们的学习范式变得更加复杂，而且与现有成熟设计过程、设计教育之间可能存在意想不到的关联。为何有效的人工智能研究者如何罕见？如果设计师具备流畅构思，建立迭代式原型，并进行用户测试，是否有助于新型人工智能技术（如神经网络、进化算法、机器学习等）的创造性应用？纽约帕森斯设计学院的“设计与技术DT”项目正在建设一系列探索机器学习与人工智能的创造性应用的新研究与新课程。本次演讲中，我将通过介绍帕森斯“设计与技术DT”项目的若干案例，以说明计算机科学、人工智能与创意设计过程之间迷人的相似之处。