Pioneering AI design for society
A holistic and integrated design research approach is crucial for the impact of AI and possible commercial innovation. Delft design researchers incorporate human needs and those of our organisations with the latest developments in technology to translate abstract AI concepts into tangible designs. We work collaboratively with computer scientists and ethics experts, with a focus on real world settings, and develop knowledge and methods for AI in society.
What is Design & AI?
Watch this video and see interviews with our IDE professors along with Elizabeth Churchill (Google), John Zimmerman (Carnegie Mellon University) and more.
Recent developments in Design & Artificial Intelligence
Design & AI Symposium 2022The TU Delft Industrial Design Engineering faculty hosted the premier European event on Design & AI on 14 October 2022. The sold-out symposium featured fantastic keynote speakers, workshops and networking opportunities that provided new insights for those involved in the design and deployment of AI systems and partnerships.
Podcast episode: "What is the role of designers in the field of AI?"Listen to our podcast episode on navigating strategies, insights, and guiding metaphors for anyone wishing to explore the intersection of AI & design. A conversation with Dr. Alessandro Bozzon, Dr. Maria Luce Lupetti, and Kars Alfrink.
Design & AI Projects
The expanding design universeAI is turning static products into dynamic ones that change while we use them. This requires new design methodologies. The European network and PhD programme DCODE, coordinated from the TU Delft Faculty of Industrial Design Engineering, is all about rethinking the future of design in a world full of AI.
We need to think about AI as a technology built around people, around communities, around society. Conceived from the beginning to exert a positive force on the world. Designers must embrace their role and responsibility as shapers of this future where AI technology is playing an increasingly important role.Prof. dr. ir. Alessandro Bozzon
Conversations on Design and AI
Alessandro Bozzon and Geert-Jan Houben on the relationship between AI and design
“No other technology has changed the world as quickly and intensely as web- and data-driven intelligent systems (AI)”
RESILIENCE & AI: Gerd Kortuem at the 179th Dies Natalis
How do we design AI to develop a resilient society? Watch Professor Gerd Kortuem in conversation with Professor Catholijn Jonker of TU Delft’s Faculty of Electrical Engineering, Mathematics and Computer Science.
In unfolding a future in which computational things are actively implicated in designing, we need to start accounting also for their worldview, and their capacity for responding to human values and aspirations.Prof. dr. Elisa Giaccardi
The nature of design problems has become more and more complex over the years. DI (Designing Intelligence) Lab is convinced that AI can really make a difference by providing new insights for designers and novel datasets for researchers.
DEI4EAI project aims to critique and change the existing common and controversial norms and provide tangible resources for practicing diversity, equity, and inclusion (DEI) when developing embodied AI.
The Design @ Scale Lab establishes new methods for integrating Participatory Design, Crowd Computing and AI, ultimately enabling designers to better address complex social problems.
Design is important because designers can speculate, they can reflect, they can prototype, they can bring these concepts into physical form and give us something tangible. We can make sure that the things we make really fit people's needs and desires and support human flourishing.Prof. dr Dave Murray-Rust
Research Publications from CHI 2023
Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to DisputeLocal governments increasingly use artificial intelligence (AI) for automated decision-making. Contestability is a way to ensure they respect human rights to autonomy and dignity. We investigate the design of public urban AI systems for contestability through the example of camera cars: human-driven vehicles equipped with image sensors.
By Himanshu Verma, Jakub Mlynar, Roger Schaer, Julien Reichenbach, Mario Jreige, John Prior, Florian Evequoz, Adrien Depeursinge
Disentangling Fairness Perceptions in Algorithmic Decision-Making...A user study investigating the effects of explanations, human oversight, and contestability on informational and procedural fairness perceptions for decisions in a loan approval scenario. [...these] contribute to informational and procedural fairness perceptions, respectively, but we find no evidence for an effect of human oversight.
Delft Design Projects in Artificial Intelligence
DEI4 Embodied AI Project won the NWO Diversity Initiative Award 2022The NWO Diversity & Inclusion Initiative Award is for initiatives that increase diversity within the field. A winner is selected each year and this year's Diversity & Inclusion Initiative Award went to the DEI4 Embodied AI initiative; a project funded by the 4TU.NIRICT DEI fund. The prize consists of a statue and 50K.
Research in soft robotics focuses on the use of soft materials in robotics in order to make them safer and more adaptive. This technology is expected to play an important role in moving robots into people’s daily life. Think about robots that assist in elderly care, soft orthoses, and intelligent soft robotic products such as seats and matrasses.
Coala: AI systems that workIn a time when AI often fails to be successfully deployed, COALA is blue collar "AI that works" by supporting workers that need analytics tools and new workers performing on-the-job training. The COALA solution will transform how workers perform their jobs and allows companies to maintain or increase the quality of their production processes and their products.
AI in IDE Education
Digital Product Development
This course introduces designers to the digital knowledge and skills needed to effectively and responsibly engage throughout the design process of digital products and services.
This course is about understanding data, seeing it as a new design material and using it in responsible ways.
Machine Learning for Design
This elective course is to enable design students to mingle, manipulate, and play with machine learning as a digital design material.
Applied AI Project (CS4320TU)
A good fit for all MSc students of TU Delft who want to gain experience in the application of basic AI methods.