The current mechanisms that drive the development of AI technologies are widely criticized for being tech-oriented and market-led instead of stemming from societal challenges. In Human-Centered AI discourses, and more broadly in Human-Computer Interaction research, initiatives have been proposed to engage experts from various domains of social science in determining how AI should reach our societies, predominantly through informing the adoption policies. Our contribution, however, seeks a more essential role for social sciences, namely to introduce discursive standpoints around what we need AI to be. With a focus on the domain of urbanism, the specific goal has been to elicit - from interviews with 16 urban experts - the imaginaries of how AI can and should impact future cities. Drawing on the social science literature, we present how the notion of "imaginary"has essentially framed this research and how it could reveal an alternative vision of non-human intelligent actors in future cities. ... Read more

We present a structured discussion of the concept of driverless car as a major Ubicomp project, and particularly of its hypothetical integration into the fabric of city. The analytical framework is borrowed from the Transportation and Urban research domains, which provides us with a list of agreed-upon subject matters when accounting for car mobility in urban design. We pose concrete questions about each of these subjects as how self-driven personal vehicles could have a positive or negative impact on them. Out of the six discussed topics, this initial examination showed that driverless car could have a negative impact on five, suggesting smoke detected, and thus the need for broadening such inspections. ... Read more