AI DeMoS Lab
AI as Deliberative Multimodal Systems
The AI DeMoS Lab will focus on developing AI for democracy. We will explore how AI can help to find a way of coming together amid multiple perspectives, and how we can help to craft a space for public interaction and deliberation. AI can be considered as a ‘demos’, one of the units in democratic societies. This is because it gives people a way of expressing themselves through visual, written and spoken activity modes (i.e. multimodal) – including generating textual narratives, digital personas and dialogical interfaces.
Two questions are key: how does AI facilitate our practice of democracy and the way we understand it; and how can we facilitate the responsible design and use of AI systems for a meaningful democratic engagement? The DeMoS Lab intends to contribute to the development of multimodal AI systems that foster deliberation and critical engagement by citizens. This will enable people to take informed decisions under the conditions of the very same deep uncertainty that these AI developments bring forth.
Researchers at the DeMoS Lab will explore:
- How synthetic media (deepfakes and GPT3) impact and foster human interrelation and trust.
- How social media algorithms co-shape an ideal of and can contribute to being a good political subject that can thrive in plurality and critically engage with others.
- The impact of voice assistants and chatbots and how they can improve representation and inclusiveness.
- How algorithmic systems in the city affect political deliberation, and how they can enlarge the space for critical and informed engagement with AI systems needed to support our collective life.
The DeMoS Lab is part of the TU Delft AI Labs programme.
The Team
Education
Courses
2024/2025
- Introduction to Responsible AI Engineering | TI3140TU
- Capstone | TI3150TU
- Art, Empathy, and Ethics | AS3132
- Robots and society | RO47008
2023/2024
- Introduction to Responsible AI Engineering | TI3140TU
- Capstone | TI3150TU
- Art, Empathy, and Ethics | AS3132
- Robots and society | RO47008
- DfI Research Methodology | ID4265
- Designing Human-Agent Collaborations | ID5236
2022/2023
- Introduction to Responsible AI Engineering | TI3140TU
- Capstone | TI3150TU
- Robots and society | RO47008
- DfI Research Methodology | ID4265
- Designing Human-Agent Collaborations | ID5236
2021/2022
- Introduction to Responsible AI Engineering | TI3140TU
- Capstone | TI3150TU
- Robots and society | RO47008
- DfI Research Methodology | ID4265
2020/2021
- Robots and society | RO47008
- DfI Research Methodology | ID4265
2019/2020
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DfI Research Methodology | ID4265
Master projects
Ongoing
- Designing the future of high school education in the age of ChatGPT, Nazli Cila, Tamsma, Jeltje (2022/2023)
- Exploring (the ethics of) future applications of Artificial Intelligence for the Dutch Probation Service, Nazli Cila, Snijder, Silke (2022/2023)
- Envisioning IoT Futures: Exploring the More-Than-Human Household, Nazli Cila, de Jonge, Kim (2022/2023)
- Ecology of Generative AI, Nazli Cila, Brouwer, Lucie (2022/2023)
Finished
- AI-based framing and spreading information online and critical decision-making, Olya Kudina, Ivy de Jong (2022/2023)
- Challenging the concept of smart doorbells by designing new interactions based on privacy, Nazli Cila, Dideriksen, Sofie-Amalie Torp (2022/2023)
- Robot Code of Conduct for Automated Dairy Farming, Nazli Cila, Gonzalez Gonzalez, Irene (2022/2023)
- Reframing digital citizenship: creating a common understanding of what it means to live on- and offline at the same time, Nazli Cila, Heinen, Yade (2022/2023)
- Re-designing the interaction of rowers with their menstrual cycle, Nazli Cila, Wundsam, Alina (2022/2023)
- Design Guidelines for Human-Agent Collaboration in a Painting Context, Nazli Cila, Martinez, Lenny (2022/2023)