This book celebrates and mourns the increasing relevance of the 2008 volume of 'Profiling the European Citizen. Cross-Disciplinary Perspectives' (edited by Mireille Hildebrandt & Serge Gutwirth). Both volumes contain in-depth investigations by lawyers, philosophers and computer scientists into the legal, philosophical and computational background of the emerging algorithmic order. In BEING PROFILED:COGITAS ERGO SUM 23 scholars engage with the issues, underpinnings, operations and implications of micro-targeting, data-driven critical infrastructure, ethics-washing, p-hacking and democratic disruption. These issues have now become part of everyday life, reinforcing the urgency of the question: are we becoming what machines infer about us, or are we?This book has been designed as a work of art by Bob van Dijk, the hardcopy has been printed as a limited edition. The separate chapters (2000 word provocations) will become available in open access in 2019.

Profiling the European citizen: why today's democracy needs to look harder at the negative potential of new technology than at its positive potential.

Profiling the European citizen: why today's democracy needs to look harder at the negative potential of new technology than at its positive potential. This book contains detailed and nuanced contributions on the technologies, the ethics and law of machine learning and profiling, mostly avoiding the term AI. There is no doubt that these technologies have an important positive potential, and a token reference to such positive potential, required in all debates between innovation and precaution, hereby precedes what follows.

In the eyes of many, one of the most challenging problems of the information society is that we are faced with an ever expanding mass of information. Based on the work done within the European Network of Excellence (NoE) on the Future of Identity in Information Society (FIDIS), a set of authors from different disciplinary backgrounds and jurisdictions share their understanding of profiling as a technology that may be preconditional for the future of our information society.

"The book provides a compact theoretical account of the hidden functioning logic of the ideal of transparency. Transparency as a concept has become hugely popular in legal discourse and beyond. The book argues that there are underlying optical, conceptual, and social reasons why transparency makes sense to us: it promises immediate seeing and understanding. That is why it can form a powerful metaphor of controllability: in the state, for example, the governed are able to monitor the inner workings of the governor through transparency practices. The modern push for transparency is premised on the notion that the truth about governance is key to its legitimacy, and transparency can provide legitimacy through access to truth. The book argues that this premise is false. Instead of accessing legitimacy by providing truth, transparency is labelled by either-or logic, which is referred to as 'the truth-legitimacy trade-off' in the book: transparency can provide either truth or legitimacy. Through this argument, the book questions the neutrality promise vested in transparency and claims that transparency is primarily a tool for creating appearances. The book consists of nine chapters divided into three parts: The Opacity of Transparency, The Promise of Transparency, and The Reality of Transparency. It combines legal and policy themes and research with interdisciplinary inputs, such as social philosophy and cultural and media studies, contributing to the growing literature on critical transparency studies"--

Explores the historical origins and emerging technologies of government profiling and examines law's role in contemporary technological environments.

As digital technologies play a key role across all aspects of our societies and in everyday life, teaching students about data is becoming increasingly important in schools and universities around the world. Bringing together international case studies of innovative responses to datafication, this book sets an agenda for how teachers, students and policy makers can best understand what kind of educational intervention works and why. Learning to Live with Datafication is unique in its focus on educational responses to datafication as well as critical analysis. Through case studies grounded in empirical research and practice, the book explores the dimensions of datafication from diverse perspectives that bring in a range of cultural aspects. It examines how educators conceptualise the social implications of datafication and what is at stake for learners and citizens as educational institutions try to define what datafication will mean for the next generation. Written by international leaders in this emerging field, this book will be of interest to teacher educators, researchers and post graduate students in education who have an interest in datafication and data literacies.

Data-gathering technology is more sophisticated than ever, as are the ethical standards for using this data. This second edition shows how to navigate this complex environment. Data Ethics provides a practical framework for the implementation of ethical principles into information management systems. It shows how to assess the types of ethical dilemmas organizations might face as they become more data-driven. This fully updated edition includes guidance on sustainability and environmental management and on how ethical frameworks can be standardized across cultures that have conflicting values. There is also discussion of data colonialism, the challenge of ethical trade-offs with ad-tech and analytics such as Covid-19 tracking systems and case studies on Smart Cities and Demings Principles. As the pace of developments in data-processing technology continues to increase, it is vital to capitalize on the opportunities this affords while ensuring that ethical standards and ideals are not compromised. Written by internationally regarded experts in the field, Data Ethics is the essential guide for students and practitioners to optimizing ethical data standards in organizations.

We delegate more and more decisions and tasks to artificial agents, machine-learning mechanisms, and algorithmic procedures or, in other words, to computational systems. Not that we are driven by powerful ambitions of colonizing the Moon, replacing humans with legions of androids, creating sci-fi scenarios à la Matrix or masterminding some sort of Person of Interest-like Machine. No, the current digital revolution based on computational power is chiefly an everyday revolution. It is therefore that much more profound, unnoticed and widespread, for it affects our customary habits and routines and alters the very texture of our day-to-day lives. This opens a precise line of inquiry, which constitutes the basic thesis of the present text: our computational power is exercised by trying to adapt not just the world but also our representation of reality to how computationally based ICTs work. The impact of this technology is such that it does not leave things as they are: it changes the nature of agents, habits, objects and institutions and hence it subverts the existing order, without necessarily generating a new one. I argue that this power is often not distributed in an egalitarian manner but, on the contrary, is likely to result in concentrations of wealth, in dominant positions or in unjust competitive advantages. This opens up a struggle, with respect to which the task of reaffirming the fundamental values, the guiding principles, the priorities and the rules of the game, which can transform, or attempt to transform, a fierce confrontation between enemies in a fair competition between opponents rests on us.

The book presents observations concerning automated decision-making from a general point of view at the same time as it analyses the manner in which praxis in some jurisdictions has evolved as concerns automated decision-making and how the requirements that are placed by the legal orders on it are formulated. The principle of the rule of law should apply in the context of automated decision-making of public authorities just as much as when the decision-makers are physical persons. In sync with increasing automatization of decision-making in public authorities, problematizing questions about the appropriate legal basis for algorithmic decision-making have started emerge. How should the principle of the rule of law apply within the area of automated decision-making, how should automated decision-making be regulated so that it satisfies the requirements created by the principle of the rule of law, and how should the principle of the rule of law be made concrete in decision-making that is based on algorithms? The proposal for an AI Act launched by the European Commission in April 2021, including an identification of high-risk uses of algorithmic techniques, raises further questions concerning practices and interpretations related to automated decision-making. The state based on the rule of law proceeds from the maxim that public powers are exercised within a legal frame that makes the exercise of public powers foreseeable in light of legal norms. Also, a state based on the rule of law requires that the contents of the exercise of public powers is regulated by legal norms, which means that the citizens must be able to know everything that is relevant about how the powers will be exercised, not only who it is that will exercise the powers. Because of rules and principles of this kind, including non-discrimination and proportionality, the exercise of powers will not become arbitrary.