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TU Delft AI Lunch – Inclusive AI: Approaches to Digital Inclusion

March 12 - 12:00 - 13:30

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Mondai | House of AI is happy to host the new edition of the TU Delft AI Lunch:
Inclusive AI: Approaches to Digital Inclusion

Realising inclusive digital systems requires the development of tools and methods that can achieve identified goals. This often takes the form of mitigating negative effects that lead to digital exclusion, for example biases. However, it can also incorporate positive values as design requirements such as fairness, contestability, and accessibility. Ideally, this leads to digital tools and systems that promote participatory processes and just outcomes. But, by what metrics or standards should we evaluate these approaches? Is a fair system necessary reliable and accurate, or are trade-offs required? How can ‘digital inclusion’ be operationalised as a design requirement at different levels, from algorithms to design processes to artifacts and infrastructures?

What do you think about the current approaches to digital inclusion? Join us for an interactive discussion to explore how to make inclusive AI actionable.

This event includes free lunch for which registration is required (help us reduce food waste!)

(This event will be held in English)

Programme
12.00 – 12.30 Walk-in and Lunch
12.30 – 13.30 Panel Discussion on Inclusive AI with Nazli Cila (IDE), Kars Alfrink (IDE), Emir Demirović (EEMCS), Roberto Rocco (ABE), Marie-Therese Sekwenz (TPM)

Moderator & Panellists

Moderator: 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.

Panellist: Kars Alfrink
Postdoc, Faculty of Industrial Design Engineering
Kars is a researcher in the Department of Sustainable Design Engineering, focusing on contestable AI. His research investigates how to design public AI systems so that they remain subject to societal control. Before entering academia, Kars spent over 15 years as an interaction design consultant, entrepreneur, and community organizer- experiences that now shape his research.

Panellist: Emir Demirović
Assistant Professor, Faculty of Engineering, Mathematics, and Computer Science
Emir is an Assistant Professor at the Algorithmics group. He leads the Constraint Solving (“ConSol”) research group, is co-director of the Explainable AI in Transportation Lab (“XAIT”) as part of the Delft AI Labs, and is an ELLIS Scholar. His primary research interest lies in solving complex real-world problems through combinatorial optimisation and its integration with machine learning.

Panellist: Roberto Rocco
Associate Professor, Faculty of Architecture and the Built Environment
Roberto is an Associate Professor of Spatial Planning and Strategy at the Department of Urbanism. He specialises in governance for the built environment and social sustainability, as well as issues of governance in regional planning and design. This includes issues of spatial justice as a crucial dimension of sustainability transitions.

Panellist: Marie-Therese Sekwenz
PhD Candidate, Faculty of Technology, Policy and Management
Marie-Therese is a PhD candidate at the Department of Multi-Actor Systems and a member of the AI Futures Lab. In her research she asks questions addressing aspects of rights and justice, focused on content moderation, platform governance and regulation, AI and socio-technical and legal system design. Marie-Therese is also active as a journalist for the Austrian Broadcasting Agency (ORF).

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 is the second in a series of discussions on Inclusive AI throughout 2024-25. Stay tuned for details on upcoming events!

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.

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