Paper by Maxat Kassen: “The article presents the results of field studies, analysing the perspectives of blockchain developers on decentralised service delivery and elaborating on unique algorithms for lifetime ledgers to reliably and safely record e-government transactions in an intrinsically cross-referenced manner. New interesting technological niches of service delivery and emerging models of related data management in the industry were proposed and further elaborated such as the generation of unique lifetime personal data profiles, blockchain-driven cross-referencing of e-government metadata, parallel maintenance of serviceable ledgers for data identifiers and phenomena of blockchain ‘black holes’ to ensure reliable protection of important public, corporate and civic information…(More)”.
Situating Data Sets: Making Public Data Actionable for Housing Justice
Paper by Anh-Ton Tran et al: “Activists, governments and academics regularly advocate for more open data. But how is data made open, and for whom is it made useful and usable? In this paper, we investigate and describe the work of making eviction data open to tenant organizers. We do this through an ethnographic description of ongoing work with a local housing activist organization. This work combines observation, direct participation in data work, and creating media artifacts, specifically digital maps. Our interpretation is grounded in D’Ignazio and Klein’s Data Feminism, emphasizing standpoint theory. Through our analysis and discussion, we highlight how shifting positionalities from data intermediaries to data accomplices affects the design of data sets and maps. We provide HCI scholars with three design implications when situating data for grassroots organizers: becoming a domain beginner, striving for data actionability, and evaluating our design artifacts by the social relations they sustain rather than just their technical efficacy…(More)”.
Community views on the secondary use of general practice data: Findings from a mixed-methods study
Paper by Annette J. Braunack-Mayer et al: “General practice data, particularly when combined with hospital and other health service data through data linkage, are increasingly being used for quality assurance, evaluation, health service planning and research.Using general practice data is particularly important in countries where general practitioners (GPs) are the first and principal source of health care for most people.
Although there is broad public support for the secondary use of health data, there are good reasons to question whether this support extends to general practice settings. GP–patient relationships may be very personal and longstanding and the general practice health record can capture a large amount of information about patients. There is also the potential for multiple angles on patients’ lives: GPs often care for, or at least record information about, more than one generation of a family. These factors combine to amplify patients’ and GPs’ concerns about sharing patient data….
Adams et al. have developed a model of social licence, specifically in the context of sharing administrative data for health research, based on an analysis of the social licence literature and founded on two principal elements: trust and legitimacy.In this model, trust is founded on research enterprises being perceived as reliable and responsive, including in relation to privacy and security of information, and having regard to the community’s interests and well-being.
Transparency and accountability measures may be used to demonstrate trustworthiness and, as a consequence, to generate trust. Transparency involves a level of openness about the way data are handled and used as well as about the nature and outcomes of the research. Adams et al. note that lack of transparency can undermine trust. They also note that the quality of public engagement is important and that simply providing information is not sufficient. While this is one element of transparency, other elements such as accountability and collaboration are also part of the trusting, reflexive relationship necessary to establish and support social licence.
The second principal element, legitimacy, is founded on research enterprises conforming to the legal, cultural and social norms of society and, again, acting in the best interests of the community. In diverse communities with a range of views and interests, it is necessary to develop a broad consensus on what amounts to the common good through deliberative and collaborative processes.
Social licence cannot be assumed. It must be built through public discussion and engagement to avoid undermining the relationship of trust with health care providers and confidence in the confidentiality of health information…(More)”
Data, Privacy Laws and Firm Production: Evidence from the GDPR
Paper by Mert Demirer, Diego J. Jiménez Hernández, Dean Li & Sida Peng: “By regulating how firms collect, store, and use data, privacy laws may change the role of data in production and alter firm demand for information technology inputs. We study how firms respond to privacy laws in the context of the EU’s General Data Protection Regulation (GDPR) by using seven years of data from a large global cloud-computing provider. Our difference-in-difference estimates indicate that, in response to the GDPR, EU firms decreased data storage by 26% and data processing by 15% relative to comparable US firms, becoming less “data-intensive.” To estimate the costs of the GDPR for firms, we propose and estimate a production function where data and computation serve as inputs to the production of “information.” We find that data and computation are strong complements in production and that firm responses are consistent with the GDPR, representing a 20% increase in the cost of data on average. Variation in the firm-level effects of the GDPR and industry-level exposure to data, however, drives significant heterogeneity in our estimates of the impact of the GDPR on production costs…(More)”
Manipulation by design
Article by Jan Trzaskowski: “Human behaviour is affected by architecture, including how online user interfaces are designed. The purpose of this article is to provide insights into the regulation of behaviour modification by the design of choice architecture in light of the European Union data protection law (GDPR) and marketing law (UCPD). It has become popular to use the term ‘dark pattern’ (also ‘deceptive practices’) to describe such practices in online environments. The term provides a framework for identifying and discussing ‘problematic’ design practices, but the definitions and descriptions are not sufficient in themselves to draw the fine line between legitimate (lawful) persuasion and unlawful manipulation, which requires an inquiry into agency, self-determination, regulation and legal interpretation. The main contribution of this article is to place manipulative design, including ‘dark patterns’, within the framework of persuasion (marketing), technology (persuasive technology) and law (privacy and marketing)…(More)”.
Does information about citizen participation initiatives increase political trust?
Paper by Martin Ardanaz, Susana Otálvaro-Ramírez, and Carlos Scartascini: “Participatory programs can reduce the informational and power asymmetries that engender mistrust. These programs, however, cannot include every citizen. Hence, it is important to evaluate if providing information about those programs could affect trust among those who do not participate. We assess the effect of an informational campaign about these programs in the context of a survey experiment conducted in the city of Buenos Aires, Argentina. Results show that providing detailed information about citizen involvement and outputs of a participatory budget initiative marginally shapes voters’ assessments of government performance and political trust. In particular, it increases voters’ perceptions about the benevolence and honesty of the government. Effects are larger for individuals with ex ante more negative views about the local government’s quality and they differ according to the respondents’ interpersonal trust and their beliefs about the ability of their communities to solve the type of collective-action problems that the program seeks to address. This article complements the literature that has examined the effects of participatory interventions on trust, and the literature that evaluates the role of information. The results in the article suggest that participatory budget programs could directly affect budget allocations and trust for those who participate, and those that are well-disseminated could also affect trust in the broader population. Because mistrustful individuals tend to shy away from demanding the government public goods that increase overall welfare, well-disseminated participatory budget programs could affect budget allocations directly and through their effect on trust…(More)”.
Applying AI to Rebuild Middle Class Jobs
Paper by David Autor: “While the utopian vision of the current Information Age was that computerization would flatten economic hierarchies by democratizing information, the opposite has occurred. Information, it turns out, is merely an input into a more consequential economic function, decision-making, which is the province of elite experts. The unique opportunity that AI offers to the labor market is to extend the relevance, reach, and value of human expertise. Because of AI’s capacity to weave information and rules with acquired experience to support decision-making, it can be applied to enable a larger set of workers possessing complementary knowledge to perform some of the higher-stakes decision-making tasks that are currently arrogated to elite experts, e.g., medical care to doctors, document production to lawyers, software coding to computer engineers, and undergraduate education to professors. My thesis is not a forecast but an argument about what is possible: AI, if used well, can assist with restoring the middle-skill, middle-class heart of the US labor market that has been hollowed out by automation and globalization…(More)”.
Data Is What Data Does: Regulating Based on Harm and Risk Instead of Sensitive Data
Paper by Daniel J. Solove: “Heightened protection for sensitive data is becoming quite trendy in privacy laws around the world. Originating in European Union (EU) data protection law and included in the EU’s General Data Protection Regulation, sensitive data singles out certain categories of personal data for extra protection. Commonly recognized special categories of sensitive data include racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sexual orientation and sex life, and biometric and genetic data.
Although heightened protection for sensitive data appropriately recognizes that not all situations involving personal data should be protected uniformly, the sensitive data approach is a dead end. The sensitive data categories are arbitrary and lack any coherent theory for identifying them. The borderlines of many categories are so blurry that they are useless. Moreover, it is easy to use nonsensitive data as a proxy for certain types of sensitive data.
Personal data is akin to a grand tapestry, with different types of data interwoven to a degree that makes it impossible to separate out the strands. With Big Data and powerful machine learning algorithms, most nonsensitive data give rise to inferences about sensitive data. In many privacy laws, data giving rise to inferences about sensitive data is also protected as sensitive data. Arguably, then, nearly all personal data can be sensitive, and the sensitive data categories can swallow up everything. As a result, most organizations are currently processing a vast amount of data in violation of the laws.
This Article argues that the problems with the sensitive data approach make it unworkable and counterproductive as well as expose a deeper flaw at the root of many privacy laws. These laws make a fundamental conceptual mistake—they embrace the idea that the nature of personal data is a sufficiently useful focal point for the law. But nothing meaningful for regulation can be determined solely by looking at the data itself. Data is what data does.
To be effective, privacy law must focus on harm and risk rather than on the nature of personal data…(More)”.
Future-Proofing Transparency: Re-Thinking Public Record Governance For the Age of Big Data
Paper by Beatriz Botero Arcila: “Public records, public deeds, and even open data portals often include personal information that can now be easily accessed online. Yet, for all the recent attention given to informational privacy and data protection, scant literature exists on the governance of personal information that is available in public documents. This Article examines the critical issue of balancing privacy and transparency within public record governance in the age of Big Data.
With Big Data and powerful machine learning algorithms, personal information in public records can easily be used to infer sensitive data about people or aggregated to create a comprehensive personal profile of almost anyone. This information is public and open, however, for many good reasons: ensuring political accountability, facilitating democratic participation, enabling economic transactions, combating illegal activities such as money laundering and terrorism financing, and facilitating. Can the interest in record publicity coexist with the growing ease of deanonymizing and revealing sensitive information about individuals?
This Article addresses this question from a comparative perspective, focusing on US and EU access to information law. The Article shows that the publicity of records was, in the past and not withstanding its presumptive public nature, protected because most people would not trouble themselves to go to public offices to review them, and it was practical impossible to aggregate them to draw extensive profiles about people. Drawing from this insight and contemporary debates on data governance, this Article challenges the binary classification of data as either published or not and proposes a risk-based framework that re-insert that natural friction to public record governance by leveraging techno-legal methods in how information is published and accessed…(More)”.
The City as a License: Design, Rights and Civics in a Blockchain Society
Special Issue by Martijn de Waal et al: “Building upon critical work on smart cities, platform urbanism and algorithmic governance, this special issue proposes the ‘generative metaphor’ of the City as a License as a lens to analyze the digitally enhanced management of urban resources and infrastructures from a perspective of rights and agency. Such a perspective has become especially urgent with the rise of new data practices around the emergence of distributed ledger technologies, as they may introduce additional layers of complexity to the ‘algorithmic governance’ of cities. This is particularly due to their tokenization of resources, identities, and rights and automatic administration of access to urban resources. Contributions in this special issue investigate the affordances of distributed ledger technologies with regards to civic agency in the governance of collective urban resources. Could these newly emerging management systems for energy production and consumption or property rights contribute to pro-social and sustainable ways of governing and managing communities and their resources, according to the logic of the commons? The lens of the City as a License not only allows for such an analysis of potentialities, but also for a critical view on these techno-social systems, such as the way in which they may repeat the inequities and obfuscations of existing systems, produce unintended consequences through complex processes, and complicate accountability…(More)”.