In this panel, we explore the future of value sensitive design (VSD). The stakes are high. Many in public and private sectors and in civil society are gradually realizing that taking our values seriously implies that we have to ensure that values effectively inform the design of technology which, in turn, shapes people’s lives. Value sensitive design offers a highly developed set of theory, tools, and methods to systematically do so.

The choice of fuels has frequently been at the center of debates about how a future low-carbon mobility system can be achieved. This paper introduces two visions of biogas fuels and electricity using material from interviews and documents in Swedish transport. These visions are analyzed as interrelated sociotechnical imaginaries. To better understand the way visions of biogas and electric vehicles dynamically shape and condition each other, four dimensions of sociotechnical imaginaries are further developed: spatial boundedness, temporality, coherence and contestation, and (...) the socio-material relations they are associated with. Imaginaries of biogas and EVs differ with respect to these characteristics. The biogas imaginary is made up of locally bounded visions of the desirable future, showing how imaginaries can be fragmented and contested, often because of their embeddedness in local socio-material systems of resource use. This local boundedness is exemplified by contrasting cases of contested biogas imaginaries in the Swedish municipalities of Linköping and Malmö. The imaginary of EVs, in contrast, is more uniform nationally and even influenced by international expectations that in the future vehicles will be shared, electric, and autonomous. The qualities of these imaginaries shape the way they interrelate and coevolve as sociotechnical changes of the transport system unfold. (shrink)

Everyday surveillance work is increasingly performed by non-human algorithms. These entities can be conceptualised as machinic flâneurs that engage in distanciated flânerie: subjecting urban flows to a dispassionate, calculative and expansive gaze. This paper provides some theoretical reflections on the nascent forms of algorithmic practice materialising in two Australian cities, and some of their implications for urban relations and social justice. It looks at the idealisation – and operational black boxing – of automated watching programs, before considering their impacts on (...) notions such as ‘the right to the city’ and ‘the right to the face’. It will argue that the turn to facial recognition software for the purposes of automating urban governance reconstitutes the meanings and phenomenology of the face. In particular, the fleshly and communicative physicality of the face is reduced to a measurable object that can be identified by a virtualised referent and then consequently tracked. Moreover, the asymmetrical and faceless nature of these machinic programs of recognition unsettles conventional notions of civil inattention and bodily sovereignty, and the prioritisation given to pattern recognition renders them amenable to ideas/ideals from phrenology and physiognomy. In this way, algorithmic governance may generate not only forms of facial vulnerability and estrangement, but also facial artifice, where individuals come to develop tacit and artful ways of de-facing and re-facing in order to subvert the processes of recognition which leverage these modes of biopower. Thus, the datafication of urban governance gives rise to a dynamic biopolitics of the face. (shrink)

Smart city discourses often invoke the Panopticon, a disciplinary architecture designed by Jeremy Bentham and popularly theorized by Michel Foucault, as a model for understanding the social impact of AI technologies. This framing focuses attention almost exclusively on the negative ramifications of Urban AI, correlating ubiquitous surveillance, centralization, and data consolidation with AI development, and positioning technologies themselves as the driving factor shaping privacy, sociality, equity, access, and autonomy in the city. This paper describes an alternative diagram for Urban AI—the (...) Polyopticon: a distributed, polyvalent, multi-modal network of synthetic intelligences. It posits that fourth industrial revolution technologies change the political, social, and psychodynamic relationships of sentience and witness in the city, shifting the effects of watching and watched beyond the exclusive domain of top-down surveillance and discipline. The Polyopticon poses a more expansive and ambivalent spectrum of possibilities for Urban AI scenarios, one that undermines the totalizing, singular, and cerebral notion of intelligence that so often characterizes Urban AI and smart city critiques. (shrink)

Data about the accessibility of United States municipalities is infrastructure in the smart city. What is counted and how, reflects the sociotechnical imaginary of a time or place. In this paper we focus on features identified by people with disabilities as promoting or hindering safe pedestrian travel. We use a regionally stratified sample of 178 cities across the United States. The municipalities were scored on two factors: their open data practices, and the degree to which they cataloged the environmental features (...) that persons with disabilities deemed critical for safe movement through urban spaces. In contradiction to the dominating narrative of too much data and not enough analyses, we find that when it comes to data points that might be useful to persons with disabilities, data are lacking. This data gap has consequences both politically and materially—on one hand data could help enforce compliance with the Americans with Disabilities Act, on the other they would allow for safe route planning. We find that reading these data formats and collection patterns from the perspective of critical disability studies—particularly those whose work disrupts notions of “normal” —helps answer questions about potential benefits and harms of data practices. This lens has the potential to promote analysis that is as disruptive to injustices as it is practical. (shrink)

The 2020 introduction by China’s central government of a national security law in Hong Kong marked a watershed moment in the social and political history of the semiautonomous city. The law emerged after months of street protests that reflected declining public trust in Hong Kong’s government. Against this turbulent backdrop, Hong Kong’s policy projects moved forward, including smart city development. This article explores public trust in and political legitimacy of Hong Kong’s smart cities endeavors in the period leading up to (...) the introduction of the NSL. At a theoretical level, the smart cities phenomenon invites critical reflection about tensions between technocracy and democracy, but this topic remains largely unexploited by empirical literature. Using survey data from 1,017 residents, this study identifies confidence in the benefits of smart cities but lesser trust in privacy and security and lesser satisfaction with participation opportunities in related policymaking. Probing these dynamics, the study finds that trust in smart city mechanics and governance associate positively with support for smart cities, controlling for ideology and issue awareness. Illuminating a theoretical and practical puzzle, these findings contribute empirically to discussions about the political legitimacy of scientific, technological, and technocratic undertakings in the public sector. (shrink)

After reviewing various informal definitions, the article shows how algorithms’ implementation still presents clear limitations, despite Big Tech’s enthusiastic narratives. We then show the ideological nature of the concept of algorithmic objectivity, developing a practical account of ideology. We argue that, along with other devices, algorithmic objectivity imbues subjects with a structural reflexivity deficit, by virtue of which Big Tech’s power practices are not perceived as such. In its conclusion, the article argues for a critical ethics for the digital age, (...) capable of taking into account the power dynamics that run through it. (shrink)

Over the last few years, smart cities have been a focus of scholarly attention. Most of these critical studies concentrated on the multinational corporations’ discourses and their implications on urban policies. Besides these factors, however, the data-driven city develops within a complex web of entanglements whereby data-driven technologies modulate the urban infrastructure in a multitude of ways contingent upon the social, political, material and technical aspects. As such, this article attends to the infrastructural implications of a smart city product, Citymapper, (...) which is a transport app built on open data available as part of London’s smart city planning. In order to establish the relationship between data and infrastructure, I use Gilbert Simondon’s notions of ‘transduction’, ‘individuation’ and ‘technicity’ to explore this relationship in a processual and relational way. In constructing this relationship as co-generative, whereby infrastructure and data transindividuate, I subsequently posit the term data/infrastructure. Against this theoretical background, I study the ways in which Citymapper individuates and thereby gains infrastructural power through technicity of data by studying the ways in which the users’ contribute to data generation that feed back into the app. Specifically, by following the transformation of the app from initially mediating the bus timetable to transducing users into environmental sensing nodes through which the app collects behavioural data, I foreground the epistemological, infrastructural and social consequences of Citymapper’s infrastructural power for the data-driven city. (shrink)

Amidst the climate of crisis surrounding the rise in opioid-related overdose in the USA, early in 2019, Google and Deloitte launched ‘Opioid360’. Here came a platform combining browser histories, credit, insurance, social media, and traditional survey data to sell the service of risk calculation in population health. Opioid360's approach to automating risk calculation not only promised to identify persons ‘at risk’ of opioid dependence, but also paved the way for broader applications anticipating common chronic diseases and coordinating logistical operations involved (...) in pandemic response. Beginning with this experimental platform, this paper develops an analysis of the Big Data mode of risk calculation - an epistemological and political shift that involves technology companies, investors, insurers, governments, and public health institutions. The analysis focuses on the re-emergence of ‘social determinants of health’ in the rhetoric accompanying novel analytic platforms that estimate, calculate, and compute individual health risks. While the treatment of SDOH has always been a site of political contestation within the discipline of public health, powerful interests are crystallising around the concept and instrumentalising it in platforms that sell algorithmic prediction. Silicon Valley's breed of asset-oriented technoscience appears not only to be amplifying the behaviouralist elements of public health. Among the stakes of the Big Data mode is the paradoxical retreat from changing social conditions that contribute to the prevalence of health and illness in populations; and instead, the promotion of an apparatus for pricing and exchanging individual risk or excluding from services those who bear risk most acutely. (shrink)