The Future of Working with/in AI

Faculty of Industrial Design Engineering of Delft University of Technology

Join this event to discover with talks and conversations how different experts see the future of working with and in AI!

B. Amsterdam B3

<h3>The Future of Working with/in AI</h3>AI can do remarkable things, yet in practice many challenges remain. How do we work in multidisciplinary teams? How do we translate the EU AI Act in reality? Is there an optimum for human and machine interaction?At this event we will share insights from our <a href="https://dcode-network.eu/" title="https://dcode-network.eu/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">DCODE project</a> and invite our research partners to share their work. We are looking forward to having you join us in Amsterdam!More information: <a href="https://www.ed.ac.uk/usher/advanced-care-research-centre" title="https://www.ed.ac.uk/usher/advanced-care-research-centre" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">dcode-network.eu</a>Date &amp; time: 15:00 - 18:00 (Registration at 14:45 // Drinks at 18:00)Location: B. Amsterdam BUILDING B3 - Room The Louis(Johan Huizingalaan 400, 1066 JS Amsterdam)

<h3>Presentations</h3>"Synthetic Data for Machine Learning Model Testing" by Luca Gilli (<a href="https://clearbox.ai/" title="https://clearbox.ai/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">ClearboxAI</a>)Synthetic data is increasingly being employed to test machine learning models, providing a valuable tool for ensuring robust and ethical AI systems. This approach is particularly pertinent in the context of the AI Act, which emphasizes the need for transparency, safety, and fairness in AI applications. By generating artificial datasets that mimic real-world data, developers can rigorously test models under diverse scenarios without compromising user privacy or encountering data scarcity issues. This talk will present practical examples of how generated data can increase human oversight over AI models."AI &amp; Ethics - but whose moral values and how?" by Bulent Ozel (<a href="https://lucidminds.ai/" title="https://lucidminds.ai/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">LucidMinds</a>)There are limits of AI which are not simply technical but are amplified by human bias. The adoption or creation of AI, like any other technical system, is inherently driven by the values of individuals and communities. In this regard, a quest for a trustworthy AI or an ethical AI is a question of value alignment. The AI value alignment problem is the problem of assigning moral values to machines. But whose values should be aligned to, and what values? While the normative aspects of a value alignment deal with these questions, the technical aspect deals with how to encode values into machines. In this talk, I will introduce an Augmented Collective Intelligence (ACI) framework where an AI design process is aligned with the community’s values."AI Act &amp; commons" by Paul Keller (<a href="https://openfuture.eu/" title="https://openfuture.eu/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Open Future</a>)Paul will discuss Open Future's work on the recently enacted AI Act and on building commons based datasets for AI training. What will be the impact of the AI Act on the design, building and research of AI systems in Europe? What design choices arise in the context of building commons based datasets? And how do these elements contribute to the vision of AI systems that serve the public interest rather than the corporate goals of a small set of commercial actors?"Caring in a data-driven world" by Jacob Sheahan (<a href="https://www.ed.ac.uk/usher/advanced-care-research-centre" title="https://www.ed.ac.uk/usher/advanced-care-research-centre" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Advanced Care Research Centre &amp; University of Edinburgh</a>)Data-driven care provision has become integral to improving the quality and sustainability of services in later life, yet predictive and standardised models of care struggle to realise complicated and entangled everyday realities. How we navigate changing worlds, shaped by demographic, technological, political, and societal shifts, has become a key concern ACRC researchers, as we recognise the need to be better equipped to engage unfolding and fluid worlds with the necessary care. As we increasingly centre a need for relational ways of designing, how can we be better equipped to engage unfolding and fluid worlds with the necessary care?

<h3>About us</h3>DCODEDCODE is a European funded network and a program with 15 PhD's. We train researchers and designers to guide society’s digital transformation towards inclusive, sustainable futures. This network consists of research partners Delft University of Technology, Umeå Institute of Design, The University of Edinburgh, University of Copenhagen, Aarhus University, Transport and Telecommunication Institute and Amsterdam University of Applied Sciences. Other partners are Amsterdam Institute for Advanced Metropolitan Solutions, MyTomorrows, Philips, Advanced Care Research Centre, Open Future, LucidMinds, ClearboxAI, BBC and Leiden University Medical Center.Somaya Ben Allouch (host)She is leading the Digital Life Research Group at the Amsterdam University of Applied Sciences. She is an endowed professor of Human-System Interaction for Health &amp; Wellbeing at the University of Amsterdam. Her research expertise involves human-centred interaction, acceptance, (long-term) use, and evaluation of digital technologies. Specifically, she investigates social robotics, ubiquitous technologies, assistive technologies, and wearables.Luca Gilli (speaker)He is the chief architect behind Clearbox's AI synthetic data generation technology, with a PhD in applied sciences from Delft University of Technology, and with a strong international expertise in Generative AI, Uncertainty Quantification, and Statistical Validation techniques for Trustworthy AI.Bulent Ozel (speaker)He is a double PhD AI expert based in Amsterdam, NL. He is a co-founder of Lucidminds.ai a human and nature-centric complex system design &amp; analysis initiation on social, economic and environmental impacts.Paul Keller (speaker)He is co-founder and Director of Policy at Open Future and President of the COMMUNIA Association for the Public Domain. Paul has over 20 years of experience as a media activist, open policy advocate, and systems architect for improving access to knowledge and culture. He has a deep understanding of the digital transformation’s political, social and legal implications.Jacob Sheahan (speaker)A Research fellow at the University of Edinburgh, Jacob has a background in industrial and interaction design. My work involves interdisciplinary and collaborative research, often partnering with local communities and organisations. My research interests centre on socially complex contexts of design, from ageing to health to safety.

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