Mondai

TU Delft AI Lunch - Inclusive AI: Caring with and for AI
2024-12-11 12:00 - 13:30 (Europe/Amsterdam) | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host the new edition of the TU Delft AI Lunch:
Inclusive AI: Caring with and for AIWhat does it mean to realize care as a design requirement in the deployment of robots, and more generally in human-machine interactions? And more broadly, what is required to propel a care-based vision within the design of AI systems? Care can be understood as an ethical framework for responsible technology development, as well as for engineering education. In practice, it translates to embracing the principles of interrelation, co-dependence, diversity, and inclusion – combining social, technological, and institutional levels of AI development. But how exactly does this translate into engineering and design practice? Join us for an interactive discussion to explore what it means to care with, and for, AI, and to kick-off the new series on Inclusive AI!
This event includes free lunch for which registration is required (help us reduce food waste!)
Programme
12.00 – 12.30 Walk-in and Lunch
12.30 – 13.30 Panel Discussion on Inclusive AI with Olya Kudina (TPM), Nazli Cila (IDE), Laura Marchal-Crespo (ME), Sara Colombo (IDE), and Arkady Zgonnikov (ME)
Panellists

Olya Kudina
Assistant Professor of Ethics & Philosophy of Technology (Faculty of TPM)
Olya is an interdisciplinary researcher in philosophy/ethics of technology who explores the relation between human values and technologies. Her recent focus has been on AI and democracy in the framework of the AI DeMoS Lab that she founded and co-leads. To anticipate the ethical challenges and opportunities of technologies, Olya thinks it is essential to combine different academic practices and fields.

Nazli Cila
Assistant Professor, Faculty of Industrial Design Engineering
Nazli is an Assistant Professor at the Department of Human-Centered Design, Faculty of Industrial Design Engineering. Her work combines interaction design with humanities, integrating empirical work (i.e., experimentation, future modelling, and prototyping) with practical and ethical issues surrounding collaborations with agents. Nazli is co-director of the AI DeMoS Lab.

Laura Marchal-Crespo
Associate Professor, Faculty of Mechanical Engineering
Laura is an Associate Professor at the Department of Cognitive Robotics, Faculty of Mechanical Engineering. She is also affiliated with the ARTORG Center for Biomedical Engineering Research, University of Bern. Laura carries out research in the general areas of human-machine interfaces and biological learning, and, specifically, in the use of robotic assistance and virtual reality to aid people in learning motor tasks and rehabilitate after neurologic injuries.

Sara Colombo
Assistant Professor, Faculty of Industrial Design Engineering
Sara’s research explores innovative approaches for the ethical design of AI applications and the critical examination of their societal impact. Her work involves engaging communities in envisioning AI futures with an emphasis on inclusivity and a participatory approach.

Arkady Zgonnikov
Assistant Professor, Faculty of Mechanical Engineering
Arkady’s research bridges the fields of cognitive science and robotics by developing cognitive models of human behaviour in human-robot interactions. He works in collaboration with some of the world’s best researchers in robotics and AI to incorporate cognitive models into the design of autonomous robots and automated driving systems. Arkady is co-director the newly launched Centre for Meaningful Human Control.

About the series Inclusive AI
Inclusivity can be understood as a desirable quality of AI systems, encompassing a broad range of pressing societal and technical challenges for the responsible development and deployment of AI systems. It manifests in machine learning through concerns related to fairness, bias, and trustworthiness; societal issues currently underrepresented in discourse (e.g., feminism, neurodiversity, disability studies, care ethics, intersectionality, more-than-human perspectives); and, in engineering and robotics application domains such as healthcare, mobility, urban AI, and the future of work. This new series aims to bring together a growing research community on campus to exploring these topics and foster an interdisciplinary exchange.
This lunch will be the first in a series of three panel discussions on Inclusive AI throughout 2024-25. Stay tuned for details on the second lunch in spring 2025.
The Delft AI (Lab) Lunch series
This series is part of the monthly Delft AI (Lab) Lunches, a recurring meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.
Every month, we host a panel to discuss challenges and developments made at the intersection of AI and a specific field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Community. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.

Note for TU Delft PhDs
The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form, don’t forget to bring it with you.
