主  题

包容人工智能：弥合设计与数据之间的本体差距
Inclusive AI: Bridging the Ontological Gap between Design and Data

时  间
2024年4月25日（星期四）
18:00 - 19:30
Thursday April 25th, 2024

地  点
上海市杨浦区阜新路281号
同济大学设计创意学院 鱼缸报告厅
Aquariums Lecture Hall, College of Design and Innovation

线上-腾讯会议
Tencent Meeting
会议号 503909453 
密码 666666

嘉宾介绍
宗诗婷 博士
Priscilla Chueng-Nainby

Priscilla Chueng-Nainby博士是一位经验丰富的数字服务设计专家，拥有超过25年的设计经验。她的设计之旅始于90年代，尽管最初攻读计算机科学学位，但Chueng-Nainby博士的求知欲驱使她进一步探索设计的复杂性。多年来，她在服务设计、工业设计和用户体验/用户界面（UX/UI）设计方面不断积累经验，拥有协同设计博士学位的她致力于推动设计方法的发展，特别是关于信息学和医疗保健领域，重点关注人工智能和数据的融合。作为一名知名设计机构的客座教授，她将自己的知识传授给下一代设计师，强调人工智能驱动的设计解决方案的重要性。

在咨询工作中，她领导了英国政府部门的数字化转型项目，包括为国家卫生服务和内阁办公室开展的开创性项目，利用了人工智能和数据分析。她的领导技能，加上预算编制、商业战略和指导方面的熟练掌握，对她的成功起到了关键作用。致力于积极的社会影响，她利用自己的专业知识促进社会的改善，利用人工智能和数据的力量创造包容和以人为本的设计解决方案。

Dr. Priscilla Chueng-Nainby is a seasoned digital service design specialist with over 25 years of experience. Her design journey began in the 1990s, Despite initially pursuing a degree in computer science, Dr. Chueng-Nainby's insatiable curiosity led her to explore the intricacies of design further. Over the years, she has honed her expertise in service design, industrial design, and user experience/user interface (UX/UI) design. With a Ph.D. in co-design, she is dedicated to advancing design methodologies, particularly in informatics and healthcare, with a focus on the intersection of AI and data. As a visiting professor at esteemed design institutions worldwide, she imparts her knowledge to the next generation of designers, emphasizing the importance of AI-driven design solutions. 

In consultancy roles, Dr. Chueng-Nainby has led digital transformation initiatives for UK government departments, including pioneering projects for the National Health Service and the Cabinet Office, leveraging AI and data analytics. Her leadership skills, coupled with proficiency in budgeting, business strategy, and mentorship, have been pivotal in her success. Committed to positive social impact, she leverages her expertise for societal betterment, harnessing the power of AI and data to create inclusive and human-centric design solutions.

主要内容

在此次讲座中，我们将深入探讨设计本体论、数据和人工智能之间错综复杂的关系，揭示传统设计原则与不断发展的AI技术之间的重大差异。我们将从对AI算法中普遍存在的偏见和歧视问题开始讨论，特别是针对边缘化社区的情况，强调了解决这些挑战的迫切需求。我们的讨论的核心是采用共同设计方法论，这是一种从边缘化社区直接收集洞察的强大工具，从而为更具包容性和公平性的AI开发实践提供信息。此外，我们还探讨了社区洞察数据与AI训练数据之间的固有差异，强调了它们在机器学习和语言模型处理中的关键作用。

快来加入这场变革性之旅，我们呼吁实现一种对AI开发更具包容性、公平性且更基础的以人为中心的范式转变。通过培育变革性创新的文化，我们可以挑战嵌入技术系统中的系统性偏见，最终为更加公正、平等的未来铺平道路。

In this thought-provoking presentation, we delve into the intricate relationship between Design Ontology, Data, and Artificial Intelligence (AI), shedding light on the significant disparities that exist between traditional design principles and the ever-evolving landscape of AI technology. Our exploration begins with a critical examination of the pervasive issue of bias and discrimination within AI algorithms, particularly as it pertains to marginalized communities. We underscore the pressing need for social innovation to address these challenges head-on.

Central to our discussion is the adoption of co-design methodologies, which serve as a powerful tool for gathering insights directly from these communities, thereby informing more inclusive and equitable AI development practices. Moreover, we confront the inherent disparities between community insights data and AI training data, highlighting their pivotal role in machine learning and language model processing.

Join us on this transformative journey as we advocate for a paradigm shift towards AI development that is not only more inclusive and equitable but also fundamentally human-centric. By fostering a culture of transformative innovation, we can challenge systemic biases embedded within technological systems, ultimately paving the way for a more just and equitable future.

以上内容来自©️同济大学设计创意学院