Spring Symposium – AI Education

04 juni 2024 09:30 t/m 17:30 | Zet in mijn agenda

Please reserve the 4th of June in your calendar for the Spring Symposium on AI Education. Registration is now open!

Hosted by the TU Delft | AI Initiative at Mondai | House of AI, this event will shine a spotlight on AI education. Join us for a day filled with insights from TU Delft's leading experts, as we delve into the fostering of AI education such innovative best-practices for teaching AI, interdisciplinary AI education, and AI skills for the future engineer.

In the morning session, gain insights into ‘AI and the changing world for graduates’ with real-world examples on the expectations from future engineers. The afternoon session will focus on practical AI education with workshops, discussions, and actionable takeaways. The afternoon session will end in a casual manner with drinks, refreshments and an opportunity for networking. The event will provide a valuable platform for knowledge exchange. Kindly reserve the day in your calendar to attend an engaging mix of discussions, workshops, and educational showcases with practical insights.

Keep an eye on this page for more updates on speakers, workshops and more!

Morning programme: ‘AI and the changing world for graduates’

09:30 - 12:30

An inspiring keynote programme to highlight the growing presence of AI in various disciplines.
Notable speakers will discuss AI in their respective fields:

Kees Kaan and Georg Vrachliotis (Faculty Architecture and Built Environment, TU Delft)
Qian Tao (Faculty of Applied Sciences, TU Delft)
AI in judicial practise and education (Erasmus University Rotterdam)

Afternoon programme: practical AI education with workshops, discussions and actionable takeaways

12:30 - 17:00

An enriching afternoon programme designed to equip educators with insights to foster AI education. Workshops and sessions include:

Lessons from implementing ML Education & the road ahead
Pedagogy using a design lens
Education in the age of AI - the 'old' and the 'new'
Exploration of AI tools for research software

Keynote speakers

Open and Connected Futures: Reimagining Design Education in the Age of AI

: Georg Vrachliotis and Kees Kaan, leading experts in the built environment, explore the intersection of architecture and AI. Georg Vrachliotis explores the shifting landscape of knowledge discovery in the AI era, unveiling new horizons in architectural innovation. Meanwhile, Kees Kaan offers a pragmatic and business-oriented outlook on AI's impact within architecture, providing invaluable real-world insights into this transformative technology.

Kees Kaan is a distinguished Professor of Architectural Design - Complex Projects and currently chairs the Department of Architecture at the Faculty of Architecture and the Built Environment. With a visionary approach, his research and studio work focus on 'The PROJECT' within the contemporary city and region, emphasizing critical thinking and narrative construction for practice. Beyond academia, Kees Kaan is renowned as the founder of KAAN Architecten, recognized for transformative projects like the Supreme Court of the Netherlands, the Royal Museum of Fine Arts in Antwerp, and the Netherlands Forensic Institute.

Georg Vrachliotis, a distinguished full professor in the Theory of Architecture and Digital Culture at TU Delft, brings a wealth of experience and insight to the intersection of AI and architecture. Vrachliotis heads the Design, Data and Society Group (DDS) at TU Delft, as well as the flagship project ‘The New Open’. From 2016, he was dean of the Karlsruher Institut für Technologie (KIT) Faculty of Architecture and Chair for Architecture Theory (2014-2020).

AI for Physicists and Physicists for AI

: Qian Tao will take us on a journey from working at the academic hospital where AI is making a huge impact on Radiology, to the corridors of TU Delft Imaging Physics where she does pioneering work on developing trustworthy AI with physics principles. Qian advocates for integrating AI into the new physics education, aiming to prepare graduates for the evolving scientific landscape and job market. AI is beyond a mysterious black box from the perspective of engineering, Qian provides her insights on the symbiotic relationship between AI and physics.

Dr. Qian Tao, with extensive expertise in biomedical engineering and pioneering AI work in radiology, brings a wealth of experience to her role. Having spent over a decade at LUMC conducting multidisciplinary research on cardiac MRI and AI-based medical image analysis, she joined TU Delft to expand her exploration of data- and knowledge-driven AI. Since 2021, Dr. Tao has led the CHEME AI Lab at TU Delft's Department of Imaging Physics, focusing on developing trustworthy AI methodologies for critical healthcare applications, particularly in medical imaging, to enhance AI's reliability and impact on scientific and clinical advancements.

Educating Tomorrow’s Lawyers

: Cees Zweistra explores the future of legal education shaped by developments in technology. As the legal landscape changes, education too must follow suit with innovative programs that integrate AI into law studies. Learn about how AI developments create many opportunities, while also fuelling discussions around ethical considerations. Cees Zweistra offers insight into why teaching students about AI’s technical aspects is essential for lawyers to stay relevant in today's evolving legal landscape.

Cees Zweistra is assistant professor of ethics, law and technology at Erasmus University Rotterdam. He studied both law and philosophy at Utrecht University and obtained a PhD in the ethics and philosophy of technology from Delft University of Technology. His research is focused on understanding how technologies are co-shaping the future of the law and legal profession.

Workshops

Machine Learning Education in the different faculties: Best Practices, Tips and Sharing Materials

: How do we teach machine learning? Do you want to learn and share best practices, tips and educational resources? Then this session is for you! In this workshop we share some conclusions from Machine Learning Teachers Community meetups and we invite you to also share your best practices and tips. We are also developing a platform (OER4AI) to share machine learning education materials between TU Delft teachers. We are looking for feedback to improve this platform and make it useful for you! In conclusion: an interactive session to foster more collaborations between teachers.

Visualisation and AI: More than just communicating results

By Thomas Höllt, Assistant Professor at the Faculty of Electrical Engineering, Mathematics & Computer Science

How to use data visualisation? Visualization is commonly used for communication of research results, from plots in scientific papers to illustrations in science communication. In this lecture, we will discuss the basics for creating good, legible visualizations of such results, but also go beyond just communication. We will discuss the benefits of using visualization in combination with machine learning (ML) to gain deeper insight into the data and to better understand ML methods themselves.

AI Pedagogy through a Design Lens

By Kars Alfrink, researcher at the Faculty of Industrial Design Engineering

How can a design view shape the pedagogical approach to AI? Explore the intersection of design and AI education in this workshop. We will discuss practical insights from the five-year run of the AI & Society IDE master elective, including the unique contributions of studio-based teaching and thinking-through-making learning activities.

Exploration of AI tools for research software

By Carlos Utrilla Guerrero & Halford Dace, Research Data & Software Team, TU Delft Library

Generative Artificial Intelligence (AI) and Large Language Models (LLMs) are reshaping research tasks. This workshop will explore the usage of generative AI in research, including code assistance, integration into research software development, and the exchange of experiences and best practices. The agenda covers essential topics: introducing LLMs, examining the impact of code assistants on research software development, and exploring responsible use and legal implications of generative AI tools like GitHub Copilot, concluding with a practical session using GitHub Copilot for software documentation.

Impact with your AI Education

By Bertien Broekhans, Life Long Learning portfolio manager AI, Data & Digitalisation

Do you want to bring insights, experiences and lessons from your AI research and education to others, contributing to a digital society? TU Delft's education initiatives aim to facilitate responsible digitalization by equipping professionals with AI skills applicable across industries such as healthcare, finance, and smart vehicles. This session will showcase TU Delft's continuing education offerings in AI and encourage participants to contribute their expertise to professionals and alumni in various application domains. Participants are invited to share relevant knowledge and skills for professionals and alumni in various domains of application.

(Re)defining education in the age of AI

By Marcell Varkonyi, Open Education, TU Delft

To what end do we educate? The integration of AI and other technological advancements into education raises crucial questions about their role within curricula, especially in preparing future engineers. However, amidst these considerations, the session aims to address the foundational question of education's purpose and how AI impacts our approach to it. Participants will engage in small group discussions to explore their underlying values and ideas about education, aiming to define its essential purpose in light of these developments.