Biometric identity systems are now a prominent feature of contemporary law enforcement, including in Europe. Often advanced on the premise of efficiency and accuracy, they have also been the subject of significant controversy. Much attention has focussed on longer-standing biometric data collection, such as finger-printing and facial recognition, foregrounding concerns with the impact such technologies can have on the nature of policing and fundamental human rights. Less researched is the growing use of voice recognition in law enforcement. This paper examines (...) the case of the recent Speaker Identification Integrated Project, a European wide initiative to create the first international and interoperable database of voice biometrics, now the third largest biometric database at Interpol. Drawing on Freedom of Information requests, interviews and public documentation, we outline the emergence and features of SiiP and explore how voice is recognised and attributed meaning. We understand Speaker Identification Integrated Project as constituting a particular ‘regime of recognition’ premised on the use of soft biometrics to disembed voice in order to optimise for difference. This, in turn, has implications for the nature and scope of law enforcement, people's position in society, and justice concerns more broadly. (shrink)

A common theme in social science studies of algorithms is that they are profoundly opaque and function as “black boxes.” Scholars have developed several methodological approaches in order to address algorithmic opacity. Here I argue that we can explicitly enroll algorithms in ethnographic research, which can shed light on unexpected aspects of algorithmic systems—including their opacity. I delineate three meso-level strategies for algorithmic ethnography. The first, algorithmic refraction, examines the reconfigurations that take place when computational software, people, and institutions interact. (...) The second strategy, algorithmic comparison, relies on a similarity-and-difference approach to identify the instruments’ unique features. The third strategy, algorithmic triangulation, enrolls algorithms to help gather rich qualitative data. I conclude by discussing the implications of this toolkit for the study of algorithms and future of ethnographic fieldwork. (shrink)

This article builds on the hypothesis that theoretical approaches to philosophy of technology are currently stuck in a false alternative: either embrace the “empirical turn” or jump back into the determinism, pessimism, and general ignorance towards specific technologies that characterized the “humanities philosophy of technology.” A third path is however possible, which consists of articulating an empirical point of view with an interest in the symbolic dimension in which technologies and technological mediations are always already embedded. Bourdieu’s sociology of the (...) symbolic forms represents an important and mostly unexplored resource in this respect. In this article, we introduce the notion of technological capital and its tree states—objectified, institutionalized, and embodied. In the first section, we briefly account of the empirical turn in philosophy of technology. Specific attention is then devoted to postphenomenology. We depict three perspectives in postphenomenology: standard postphenomenology, in which one single human-technology-world relation at a time is considered; the attempt of some technological mediation theorists to articulate postphenomenology and actor-network theory ; the original effort in Ihde, which is currently practiced by a minority of postphenomenologists, to combine an interest for the empirical dimension of technological mediations with an attention to the social and cultural conditions of possibility in which these mediations are embedded. In the second section, we consider some recent critiques of the limits of the empirical turn in philosophy of technology, especially related to postphenomenology. Furthermore, we argue that Pierre Bourdieu’s sociology may benefit the philosophy of technology. One might say that according to a Bourdieusian perspective, technologies are, in their invention, implementation, and use, embedded in symbolically organized interactions among social actors or groups. The notion of technological capital is introduced. A specific attention is given to its embodied state, which is related to the habitus. Such concept suggests that, to rephrase the famous sentence by Heidegger, “the essence of technology is not totally technological.” In the conclusion, we consider three risks related to a Bourdieusian approach to technology: transparency, determinism, and absolutism. (shrink)

Based on an abductive analytic study, we examine financial and social value incorporation in the multi-valued market of impact investing. This paper draws on interviews with investment professionals in 54 charitable foundations, intermediary and field building organizations in the impact investing market, to compare market objectives with practice, and to determine whether social and financial values are incorporated, thus producing ‘returns’ of both types through market exchange. We find unincorporated valuation is apparent at both the market level and for several (...) types of investors in contrast with the incorporated or even integrated valuations of other investors. This demonstrates that rather than incorporating logics in a binary or hybrid way, valuation in the moral market of impact investing occurs in a multiplicity of ways and on different levels of the market, depending on a variety of factors including adherence to traditional financial market standards and market design and maintenance. (shrink)

How corporations surveil and influence consumers using big data tools is a major area of research and public debate. However, few studies explore it in relation to physicians in the USA, even though they have been surveilled and targeted by the pharmaceutical industry since at least the 1950s. Indeed, in 2010, concerns about the pharmaceutical industry's undue influence led to the passing of the Physician Sunshine Act, a unique piece of transparency legislation that requires companies to report their financial ties (...) to physicians and teaching hospitals in a public database. This article argues that while the Sunshine Act has clearly helped expose important commercial influences on both prescribing and the scale of industry involvement with physicians, it has also, paradoxically, fuelled further commercial surveillance and marketing. The article casts new light on innovative pharmaceutical marketing approaches and the key role of data brokers and analytics companies in the identification, targeting, managing, and surveillance of physicians. We place this analysis within the political economies of the pharmaceutical industry, surveillance-based marketing, and transparency, and argue that policies to promote increased transparency must be tightly tied to policies that impede the commodification and use of transparency data for surveillance and marketing purposes. (shrink)

Different people have different perceptions about artificial intelligence (AI). It is extremely important to bring together all the alternative frames of thinking—from the various communities of developers, researchers, business leaders, policymakers, and citizens—to properly start acknowledging AI. This article highlights the ‘fruitful collaboration’ that sociology and AI could develop in both social and technical terms. We discuss how biases and unfairness are among the major challenges to be addressed in such a sociotechnical perspective. First, as intelligent machines reveal their nature (...) of ‘magnifying glasses’ in the automation of existing inequalities, we show how the AI technical community is calling for transparency and explainability, accountability and contestability. Not to be considered as panaceas, they all contribute to ensuring human control in novel practices that include requirement, design and development methodologies for a fairer AI. Second, we elaborate on the mounting attention for technological narratives as technology is recognized as a social practice within a specific institutional context. Not only do narratives reflect organizing visions for society, but they also are a tangible sign of the traditional lines of social, economic, and political inequalities. We conclude with a call for a diverse approach within the AI community and a richer knowledge about narratives as they help in better addressing future technical developments, public debate, and policy. AI practice is interdisciplinary by nature and it will benefit from a socio-technical perspective. (shrink)

Digital personal data is increasingly framed as the basis of contemporary economies, representing an important new asset class. Control over these data assets seems to explain the emergence and dominance of so-called “Big Tech” firms, consisting of Apple, Microsoft, Amazon, Google/alphabet, and Facebook. These US-based firms are some of the largest in the world by market capitalization, a position that they retain despite growing policy and public condemnation—or “techlash”—of their market power based on their monopolistic control of personal data. We (...) analyse the transformation of personal data into an asset in order to explore how personal data is accounted for, governed, and valued by Big Tech firms and other political-economic actors. However, our findings show that Big Tech firms turn “users” and “user engagement” into assets through the performative measurement, governance, and valuation of user metrics, rather than extending ownership and control rights over personal data per se. We conceptualize this strategy as a form of “techcraft” to center attention on the means and mechanisms that Big Tech firms deploy to make users and user data measurable and legible as future revenue streams. (shrink)

The harvesting of data about people, organizations, and things and their transformation into a form of capital is often described as a process of “accumulation by dispossession,” a pervasive loss of rights buttressed by predatory practices and legal violence. Yet this argument does not square well with the fact that enrollment into digital systems is often experienced as a much more benign process: signing up for a “free” service, responding to a “friend’s” invitation, or being encouraged to “share” content. In (...) this paper, we focus on the centrality of gifting and reciprocity to the business model and cultural imagination of digital capitalism. Relying on historical narratives and in-depth interviews with the designers and critics of digital systems, we explain the cultural genesis of these “give-to-get” relationships and analyze the socio-technical channels that structure them in practice. We suggest that the economic relation that develops as a result of a digital gift offering not only masks the structural asymmetry between giver and gifted but also permits the creation of the new commodity of personal data, obfuscates its true value, and naturalizes its private appropriation. We call this unique regime “accumulation by gift.”. (shrink)

This article asks how the application of digital technologies is changing the organization of the agri-food system in the context of the third food regime. The academic debate on digitalization and food largely focuses on the input and farm level. Yet, based on the analysis of 280 digital services and products, we show that digital technologies are now being used along the entire food commodity chain. We argue that digital technologies in the third food regime serve on the one hand (...) as a continuation of established information and communication technologies, thus deepening certain features of the existing food regime such as the retail sector’s control over global commodity chains. On the other hand, digital technologies also introduce new forms of control and value extraction based on the use of data and pave the way for large tech companies to take over market shares in the agri-food sector. Finally, we find that multinational agri-food companies are starting to take on the business models of leading digital tech companies, for instance by developing digital platforms throughout the agri-food system. We argue that this shows that the broader economic restructuring of neoliberal capitalism towards digital capitalism is also making its way into the agri-food system. (shrink)

Machine learning algorithms reshape how people communicate, exchange, and associate; how institutions sort them and slot them into social positions; and how they experience life, down to the most ordinary and intimate aspects. In this article, we draw on examples from the field of social media to review the commonalities, interactions, and contradictions between the dispositions of people and those of machines as they learn from and make sense of each other.

Scholars have revealed how moral evaluation is woven into formal administrative processes. While research examining these dynamics tends to assume that a person’s naturalized identity (such as race and gender) precedes administrative processing, we argue that social categorization by administrators is the tacit precondition upon which further processing takes place. We make this argument by looking at a set of unusual cases: parole hearings where prisoners fall outside of, conflict with, or move between categories of gender, sexuality, race, and ability. (...) We find that categorization acts as a prerequisite to moral evaluation. When administrators cannot easily categorize a prisoner, they resolve this uncertainty by denying parole. Yet, social categorization can also serve as a pathway to moral approval and administrative allocation. In certain situations, administrators encourage prisoners’ identification with a new social category as proof that they are deserving of parole. In both cases, successful administrative categorization occurs through a combination of what we call narrativization, or crafting a narrative around one’s identity that aligns with administrators’ presumptions, and authorization, or marshalling official evidence from prior classification moments to support identity claims. These insights extend our understanding of classification, moral evaluation, and the administrative reproduction of inequality. (shrink)

Applications of artificial intelligence/machine learning in health care are dynamic and rapidly growing. One strategy for anticipating and addressing ethical challenges related to AI/ml for health care is patient and public involvement in the design of those technologies – often referred to as ‘co-design’. Co-design has a diverse intellectual and practical history, however, and has been conceptualized in many different ways. Moreover, AI/ml introduces challenges to co-design that are often underappreciated. Informed by perspectives from critical data studies and critical digital (...) health studies, we review the research literature on involvement in health care, and involvement in design, and examine the extent to which co-design as commonly conceptualized is capable of addressing the range of normative issues raised by AI/ml for health care. We suggest that AI/ml technologies have amplified and modified existing challenges related to patient and public involvement, and created entirely new challenges. We outline three pitfalls associated with co-design for ethical AI/ml for health care and conclude with suggestions for addressing these practical and conceptual challenges. (shrink)

This article explores how the shift from print to electronic calendars materializes and exacerbates a distinctively quantitative, “spreadsheet” orientation to time. Drawing on interviews with engineers, I argue that calendaring systems are emblematic of a larger design rationale in Silicon Valley to mechanize human thought and action in order to make them more efficient and reliable. The belief that technology can be profitably employed to control and manage time has a long history and continues to animate contemporary sociotechnical imaginaries of (...) what automation will deliver. In the current moment we live in the age of the algorithm and machine learning, so it is no wonder, then, that the contemporary design of digital calendars is driven by a vision of intelligent time management. As I go on to show in the second part of the article, this vision is increasingly realized in the form of intelligent digital assistants whose tracking capacities and behavioral algorithms aim to solve life’s existential problem—how best to organize the time of our lives. This article contributes to STS scholarship on the role of technological artifacts in generating new temporalities that shape people’s perception of time, how they act in the world, and how they understand themselves. (shrink)

Today, the US pursues the global capture of data (understood as a significant engine of growth) by way of bi- and plurilateral trade agreements. However, the project of securing the global free flow of data has been pursued ever since the dawn of digital telecommunication in the 1960s and the US has made significant legal efforts to institutionalise it. These efforts have two phases: In the first 1970s and 80s “freedom of information” phase, the legal justification (and contestation) of the (...) global free flow of data hinged on imagining data as information, and its exchange as a practice of liberty. The second phase began in the late 1990s and continues today. In this phase, the free flow of data is aligned with a free-trade agenda in the context of first e-commerce and, starting in the 2000s, through attempts at creating a global public domain of personal data for the platform economy. The global free flow of data is an intrinsic aspect of informational capitalism. Assuming a constitutive, but not commanding role for law in informational capitalism, we conclude that the US attempt at ensuring free flow for its informational corporations is neither an entirely contingent nor a necessary outcome. It is a product of legal imagination. (shrink)

Progressing beyond the given has been a key modern tendency. Yet modern societies are currently facing the problem of how to put limits on progress, expansion, and growth, live within them, and preserve (rather than transcend) the present. Drawing on economic sociology scholarship on valuation and morality in economic life, this article develops and applies the term economization to analyze the enactment of limits on progress. The question of end-of-life care—when to stop medical efforts to prolong life, postpone death, and (...) advance the scientific frontier—serves as an illustrative empirical case that sheds light on limit-setting in general. My analysis of this case combines historical, ethnographic, and in-depth interview data on US palliative care clinicians, who specialize in making life-and-death decisions in acute care hospitals. (shrink)

The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but has its roots in, economic capital. Data collection is driven by the perpetual cycle of capital accumulation, which in turn drives capital to construct and rely upon a universe in which everything is made of data. The imperative to capture all data, from all sources, by any means possible (...) influences many key decisions about business models, political governance, and technological development. This article argues that many common practices of data accumulation should actually be understood in terms of data extraction, wherein data is taken with little regard for consent and compensation. By understanding data as a form capital, we can better analyse the meaning, practices, and implications of datafication as a political economic regime. (shrink)

In this article, we explore how digital marketers think about marketing in the age of Big Data surveillance, automatic computational analyses, and algorithmic shaping of choice contexts. Our starting point is a contradiction at the heart of digital marketing namely that digital marketing brings about unprecedented levels of consumer empowerment and autonomy and total control over and manipulation of consumer decision-making. We argue that this contradiction of digital marketing is resolved via the notion of relevance, which represents what Fredric Jameson (...) calls a symbolic act. The notion of the symbolic act lets us see the centering of relevance as a creative act of digital marketers who undertake to symbolically resolve a contradiction that cannot otherwise be resolved. Specifically, we suggest that relevance allows marketers to believe that in the age of surveillance capitalism, the manipulation of choice contexts and decision-making is the same as consumer empowerment. Put differently, relevance is the moment when marketing manipulation disappears and all that is left is the empowered consumer. To create relevant manipulations that are experienced as empowering by the consumer requires always-on surveillance, massive analyses of consumer data and hyper-targeted responses, in short, a persistent marketing presence. The vision of digital marketing is therefore a fascinating one: marketing disappears at precisely the moment when it extends throughout the life without limit. (shrink)

Automated influence is one of the most pervasive applications of artificial intelligence in our day-to-day lives, yet a thoroughgoing account of its associated individual and societal harms is lacking. By far the most widespread, compelling, and intuitive account of the harms associated with automated influence follows what I call the control argument. This argument suggests that users are persuaded, manipulated, and influenced by automated influence in a way that they have little or no control over. Based on evidence about the (...) effectiveness of targeted advertising as well as empirical results about the nature of attentional control, I provide reasons to reject this argument. In turn, I use C. Thi Nguyen's theory of value collapse to develop a new account of the harmfulness of automated influence. (shrink)

In this paper we make the case for the emergence of novel kind of bias with the use of algorithmic decision-making systems. We argue that the distinctive generative process of feature creation, characteristic of machine learning (ML), contorts feature parameters in ways that can lead to emerging feature spaces that encode novel algorithmic bias involving already marginalized groups. We term this bias _assembled bias._ Moreover, assembled biases are distinct from the much-discussed algorithmic bias, both in source (training data versus feature (...) creation) and in content (mimics of extant societal bias versus reconfigured categories). As such, this problem is distinct from issues arising from bias-encoding training feature sets or proxy features. Assembled bias is not epistemically transparent in source or content. Hence, when these ML models are used as a basis for decision-making in social contexts, algorithmic fairness concerns are compounded. (shrink)

This article focuses on key roles that the ill-defined concept of ‘public benefit’ plays in accessing the public health data held by the UK’s National Health Service. Using the concept of the ‘trade-off fallacy’, this article argues that current data access and governance structures, based on particular construals of public benefit in the context of public health data, largely negate the possibility of effective control by individuals over future uses of personal health data. This generates a health data version of (...) the trade-off fallacy that enables widespread involvement of commercial actors in personal data, despite public concerns over commercial involvement in, and potential exploitation of, public health data. The article suggests that, despite ostensibly robust regulatory and governance structures, this publicly held data is potentially subject to similar logics of accumulation as seen elsewhere in the digital economy, highlighting the inadequacies of current data regulatory frameworks in the digital era. (shrink)

This article examines discourses about mixed reality as a data-rich sensing technology – specifically, engaging with discourses of time as framed by developers, engineers and in corporate PR and marketing in a range of public facing materials. We focus on four main settings in which mixed reality is imagined to be used, and in which time was a dominant discursive theme – the development of mixed reality by big tech companies, the use of mixed reality for defence, mixed reality as (...) a technology for control of populations in civil society and mixed reality as a technology used in workplace settings. Across these settings, the broad narrative is that mixed reality technologies afford overwhelmingly positive benefits like efficiency and security through their capture, relay and rendition of data – affording a form of anticipatory power to the user. The framing of temporality, we argue, is underlain by social and political values, which represent certain interests, but leave others out in the imagination of mixed reality's technological advance. (shrink)

Within the political economy of informational capitalism, commercial surveillance practices are tools for resource extraction. That process requires an enabling legal construct, which this essay identifies and explores. Contemporary practices of personal information processing constitute a new type of public domain—a repository of raw materials that are there for the taking and that are framed as inputs to particular types of productive activity. As a legal construct, the biopolitical public domain shapes practices of appropriation and use of personal information in (...) two complementary and interrelated ways. First, it constitutes personal information as available and potentially valuable: as a pool of materials that may be freely appropriated as inputs to economic production. That framing supports the reorganization of sociotechnical activity in ways directed toward extraction and appropriation. Second, the biopolitical public domain constitutes the personal information harvested within networked information environments as raw. That framing creates the backdrop for culturally situated techniques of knowledge production and for the logic that designates those techniques as sites of legal privilege. (shrink)

Platform companies use techniques of algorithmic management to control their users. Though digital marketplaces vary in their use of these techniques, few studies have asked why. This question is theoretically consequential. Economic sociology has traditionally focused on the embedded activities of market actors to explain competitive and valuation dynamics in markets. But restrictive platforms can leave little autonomy to market actors. Whether or not the analytical focus on their interactions makes sense thus depends on how restrictive the platform is, turning (...) the question into a first order analytical concern. The paper argues that we can explain why platforms adopt more and less restrictive architectures by focusing on the design logic that informs their construction. Platforms treat markets as search algorithms that blend software computation with human interactions. If the algorithm requires actors to follow narrow scripts of behavior, the platform should become more restrictive. This depends on the need for centralized computation, the degree to which required inputs can be standardized, and the misalignment of interests between users. The paper discusses how these criteria can be mobilized to explain the architectures of four illustrative cases. (shrink)

Over the last decade, scholars across the wide spectrum of the discipline of sociology have started to reengage with questions on morality and moral phenomena. The continued wave of research in this field, which has come to be known as the new sociology of morality, is a lively research program that has several common grounds with scholarship in the field of business ethics. The aim of this thematic symposium is to open constructive dialogues between these two areas of study. In (...) this introductory essay, we briefly present the project of the new sociology of morality and discuss its relevance for business ethics. We also review the contributions to this thematic symposium and identify four specific domains where future research can contribute to fruitful dialogues between the two fields. (shrink)

This paper explores the political potential of digital failure as a refusal to work in service of today’s dataveillance society. Moving beyond criticisms of flawed digital systems, this paper traces the moments of digital failure that seek to break, rather than fix, existing systems. Instead, digital failure is characterized by pesky data that sneaks through the cracks of digital capitalism and dissipates into the unproductive; it supports run-away data prone to misidentifications by digital marketers, coders, and content moderators; and it (...) celebrates data predisposed to “back-talk” with playful irreverence toward those that seek to bring order through normative categorization and moderation. I call these data entropic, fugitive, and queer and explore their mischievous practices through three case studies: the unaccountable data in identity resolution, public shaming of the ImageNet training data, and reading practices of sex worker and influencer, @Charlieshe. Together these case studies articulate the political potential of digital failure as a process of unbecoming the good data subject by pushing past the margins of legibility, knowability, and thinkability, to reveal what is made illegible, unknowable, and unthinkable to data’s seeing eye. As predictive analytics, automated decision-systems, and artificial intelligence take on increasingly central roles in public governance, digital failure reveals how data itself is a flawed concept prone to political abuse and social engineering to protect the interests of the powerful, while keeping those marginalized over-surveilled and underrepresented. (shrink)

How do digital platforms govern their users? Existing studies, with their focus on impersonal and procedural modes of governance, have largely neglected to examine the human labor through which platform companies attempt to elicit the consent of their users. This study describes the relationship labor that is systematically excised from many platforms’ accounts of what they do and missing from much of the scholarship on platform governance. Relationship labor is carried out by agents of platform companies who engage in interpersonal (...) communications with a platform’s users in an effort to align diverse users’ activities and preferences with the company’s interests. The authors draw on ethnographic research conducted at AllDone (a for-profit startup that built an online market for local services) and edX (a non-profit startup that partnered with institutions to offer Massive Open Online Courses). The findings leverage variation in organizational contexts to elaborate the common practices and divergent strategies of relationship labor deployed by each platform. Both platforms relied on relationship workers to engage in account management practices aimed at addressing the particular concerns of individual users through interpersonal communications. Relationship workers in each setting also engaged in community management practices that facilitated contact and collaboration among users in pursuit of shared goals. However, our findings show that the relative frequency of relationship workers’ use of account management and community management practices varies with organizational conditions. This difference in strategies also corresponded to different ways of valuing relationship workers and incorporating them into organizational processes. The article demonstrates how variation in organizational context accounts for divergent strategies for governing user participation in digital platforms and for the particular processes through which governance is accomplished and contested. (shrink)

Today’s economy has transitioned from the traditional brick and mortar structure of doing business to that of digitalized economy. The latter functions with the aid of technological tools with ‘data’ being the most significant tool in today’s context. The issue has become even more critical with the advent of ‘big data’. It is argued that accumulation, analysis and usage of ‘big data’ enable creation of varied forms of entry barriers for new entrants and information asymmetries for customers which in turn (...) affect ‘market competition’ adversely (Santesteban & Longpre The Antitrust Bulletin,65(3), 459-485, 2020; Fast et al., 2021). Consequently, it is pertinent to revisit the traditional understanding of ‘market competition’ as stipulated in the antitrust laws across jurisdictions and specifically the Indian Competition Act, 2002. The existing regime being centred around neo-classical price theory is not equipped to comprehend the various dimensions of the digitalised world where ‘data’ is the new form of currency having effects on market power and, consequently, on market competition. Digital markets are multi-sided and non-linear in nature where ‘big data’ acts as a lubricant for their smooth functioning. Whether access to data provides any form of competitive advantage is the central question. A resource to provide any form of competitive advantage must be distinct, rare, inimitable, non-substitutable and valuable (Barney, 1991). If data carries such characteristics, the continuous percolation and usage of technology powered by ‘big data’ into the markets will affect the understanding of the basic competitive wrongs. Potential interdependencies between technology, data and market power also affect the understanding of ‘dominance’ as stipulated under the existing law. The unique challenges which ‘big data’ poses are not only restricted to competition policy but also extended to enforcement as they trigger overlapping constitutional concerns in relation to privacy. This demands for looking at the existing gap between competition law/policy and the ‘data’-driven challenges being faced in this ever-evolving digital economy. (shrink)

Governments and citizens of nearly every nation have been compelled to respond to COVID-19. Many measures have been adopted, including contact tracing and risk assessment algorithms, whereby citizen whereabouts are monitored to trace contact with other infectious individuals in order to generate a risk status via algorithmic evaluation. Based on 38 in-depth interviews, we investigate how people make sense of Health Code, the Chinese contact tracing and risk assessment algorithmic sociotechnical assemblage. We probe how people accept or resist Health Code (...) by examining their ongoing, dynamic, and relational interactions with it. Participants display a rich variety of attitudes toward privacy and surveillance, ranging from fatalism to the possibility of privacy to trade-offs for surveillance in exchange for public health, which is mediated by the perceived effectiveness of Health Code and changing views on the intentions of institutions who deploy it. We show how perceived competency varies not just on how well the technology works, but on the social and cultural enforcement of various non-technical aspects like quarantine, citizen data inputs, and cell reception. Furthermore, we illustrate how perceptions of Health Code are nested in people’s broader interpretations of disease control at the national and global level, and unexpectedly strengthen the Chinese authority’s legitimacy. None of the Chinese public, Health Code, or people’s perceptions toward Health Code are predetermined, fixed, or categorically consistent, but are co-constitutive and dynamic over time. We conclude with a theorization of a relational perception and methodological reflections to study algorithmic sociotechnical assemblages beyond COVID-19. (shrink)

The aim of this article is to assess the impact of Big Data technologies for insurance ratemaking, with a special focus on motor products.The first part shows how statistics and insurance mechanisms adopted the same aggregate viewpoint. It made visible regularities that were invisible at the individual level, further supporting the classificatory approach of insurance and the assumption that all members of a class are identical risks. The second part focuses on the reversal of perspective currently occurring in data analysis (...) with predictive analytics, and how this conceptually contradicts the collective basis of insurance. The tremendous volume of data and the personalization promise through accurate individual prediction indeed deeply shakes the homogeneity hypothesis behind pooling. The third part attempts to assess the extent of this shift in motor insurance. Onboard devices that collect continuous driving behavioural data could import this new paradigm into these products. An examination of the current state of research on models with telematics data shows however that the epistemological leap, for now, has not happened. (shrink)

This article argues for engaging with the smart city as a sociotechnical imaginary. By conducting a close reading of primary source material produced by the companies IBM and Cisco over a decade of work on smart urbanism, we argue that the smart city imaginary is premised in a particular narrative about urban crises and technological salvation. This narrative serves three main purposes: it fits different ideas and initiatives into a coherent view of smart urbanism, it sells and disseminates this version (...) of smartness, and it crowds out alternative visions and corresponding arrangements of smart urbanism. Furthermore, we argue that IBM and Cisco construct smart urbanism as both a reactionary and visionary force, plotting a model of the near future, but one that largely reflects and reinforces existing sociopolitical systems. We conclude by suggesting that breaking IBM’s and Cisco’s discursive dominance over the smart city imaginary requires us to reimagine what smart urbanism means and create counter-narratives that open up space for alternative values, designs, and models. (shrink)

Within the political economy of informational capitalism, commercial surveillance practices are tools for resource extraction. That process requires an enabling legal construct, which this essay identifies and explores. Contemporary practices of personal information processing constitute a new type of public domain—a repository of raw materials that are there for the taking and that are framed as inputs to particular types of productive activity. As a legal construct, the biopolitical public domain shapes practices of appropriation and use of personal information in (...) two complementary and interrelated ways. First, it constitutes personal information as available and potentially valuable: as a pool of materials that may be freely appropriated as inputs to economic production. That framing supports the reorganization of sociotechnical activity in ways directed toward extraction and appropriation. Second, the biopolitical public domain constitutes the personal information harvested within networked information environments as raw. That framing creates the backdrop for culturally situated techniques of knowledge production and for the logic that designates those techniques as sites of legal privilege. (shrink)