Mireille Hildebrandt

Within science technology and society studies the focus has long been on descriptive microanalyses. Several authors have raised the issue of the normative implications of the findings of research into socio-technical devices and infrastructures, while some claim that material artifacts have moral significance or should even be regarded as moral actors. In this contribution the normative impact of technologies is investigated and compared with the normative impact of legal norms, arguing that a generic concept of normativity is needed that does not depend on the intention of whoever designed either a law or a technology. Furthermore this contribution develops the idea that modern law, which has been mediated by the technologies of the script and the printing press, may need to rearticulate its basic tenets into emerging technologies in order to sustain what has been called the paradox of the 'Rechtsstaat'.

In this contribution, I will argue that the image of a balance is often used to defend the idea of a trade-off. To understand the drawbacks of this line of thought, I will explore the relationship between online security technologies and fundamental rights, notably privacy, nondiscrimination, freedom of speech and due process. After discriminating between three types of online security technologies, I will trace the reconfiguration of the notion of privacy in the era of smart environments. This will lead to an inquiry into the metaphor of the scale, building on the triple test regarding the justification of the limitation of fundamental rights such as privacy. The conclusion will be that in the case of a trade-off, infringing measures will have to be balanced by effective safeguards. No trade-off without balance

In this contribution we will explore some of the implications of the vision of Ambient Intelligence (AmI) for law and legal philosophy. AmI creates an environment that monitors and anticipates human behaviour with the aim of customised adaptation of the environment to a person’s inferred preferences. Such an environment depends on distributed human and non-human intelligence that raises a host of unsettling questions around causality, subjectivity, agency and (criminal) liability. After discussing the vision of AmI we will present relevant research in the field of philosophy of technology, inspired by the post-phenomenological position taken by Don Ihde and the constructivist realism of Bruno Latour. We will posit the need to conceptualise technological normativity in comparison with legal normativity, claiming that this is necessary to develop democratic accountability for the implications of emerging technologies like AmI. Lastly we will investigate to what extent technological devices and infrastructures can and should be used to achieve compliance with the criminal law, and we will discuss some of the implications of non-human distributed intelligence for criminal liability

Both corporate and global governance seem to demand increasingly sophisticated means for identification. Supposedly justified by an appeal to security threats, fraud and abuse, citizens are screened, located, detected and their data stored, aggregated and analysed. At the same time potential customers are profiled to detect their habits and preferences in order to provide for targeted services. Both industry and the European Commission are investing huge sums of money into what they call Ambient Intelligence and the creation of an ‘Internet of Things’. Such intelligent networked environments will entirely depend on real time monitoring and real time profiling, resulting in real time adaptation of the environment. In this contribution the author will assess the threats and opportunities of such autonomic profiling in terms of its impact on individual autonomy and refined discrimination and indicate the extent to which traditional data protection is effective as regards profiling

In this contribution I address the type of emergency that threatens a state’s monopoly of violence, meaning that the state’s competence to provide citizens with elementary security is challenged. The question is, whether actions taken by the state to ward off these threats (should) fall within the ambit of the criminal law. A central problem is the indeterminacy that is inherent in the state of emergency, implicating that adequate measures as well as constitutional constraints to be imposed on such measures cannot easily be determined in advance. This indeterminacy raises two interrelated issues. Firstly, the issue of whether it makes sense to speak of criminal jurisdiction when the existing jurisdiction is challenged as such. To what extent does the indeterminacy call for inherently unlimited powers of the state, implying there can be no such thing as criminal jurisdiction during a state of emergency? Second—if criminal jurisdiction is not in contradiction with the state of emergency—the issue of what criminal liability could mean in such a state needs to be confronted. To what extent does the indeterminacy inherent in the state of emergency jeopardise criminal liability because such indeterminacy engenders severe legal uncertainty regarding the standards against which the relevant actions are to be judged? Both issues will be discussed from the perspective of constitutional democracy, assuming that what is at stake in times of emergency is both the competence to sustain the monopoly of violence and the possibility to constrain the powers of the state.

This contribution aims to explain how European Criminal Law can be understood as constitutive of European identity. Instead of starting from European identity as a given, it provides a philosophical analysis of the construction of self-identity in relation to criminal law and legal tradition. The argument will be that the self-identity of those that share jurisdiction depends on and nourishes the legal tradition they adhere to and develop, while criminal jurisdiction is of crucial importance in this process of mutual constitution. This analysis will be complemented with a discussion of the integration of the first and the third pillar as aimed for by the Constitutional Treaty, which would bring criminal law under majority rule and European democratic control. Attention will be paid to two ground breaking judgements of the European Court of Justice that seem to boil down to the fact that the Court actually manages to achieve some of the objectives of the CT even if this is not in force. This gives rise to a discussion of how the CT may transform European criminal law in the Union to EU criminal law of the Union, thus producing an identity of the Union next to the identities prevalent in the Union. The contribution concludes with some normative questions about the kind of European identity we should aim to establish, given the fact that such identity will arise with further integration of criminal law into the first pillar.

Law, Human Agency and Autonomic Computing interrogates the legal implications of the notion and experience of human agency implied by the emerging paradigm of autonomic computing, and the socio-technical infrastructures it supports. The development of autonomic computing and ambient intelligence âe" self-governing systems âe" challenge traditional philosophical conceptions of human self-constitution and agency, with significant consequences for the theory and practice of constitutional self-government. Ideas of identity, subjectivity, agency, personhood, intentionality, and embodiment are all central to the functioning of modern legal systems. But once artificial entities become more autonomic, and less dependent on deliberate human intervention, criteria like agency, intentionality and self-determination, become too fragile to serve as defining criteria for human subjectivity, personality or identity, and for characterizing the processes through which individual citizens become moral and legal subjects. Are autonomic âe" yet artificial âe" systems shrinking the distance between (acting) subjects and (acted upon) objects? How âe~distinctively humanâe(tm) will agency be in a world of autonomic computing? Or, alternatively, does autonomic computing merely disclose that we were never, in this sense, âe~humanâe(tm) anyway? A dialogue between philosophers of technology and philosophers of law, this book addresses these questions, as it takes up the unprecedented opportunity that autonomic computing and ambient intelligence offer for a reassessment of the most basic concepts of law.

This discussion note does three things: it explains the notion of ‘legal protection by design’ in relation to data-driven infrastructures that form the backbone of our new ‘onlife world’, it explains how the notion of ‘by design’ relates to the relational nature of what an environment affords its inhabitants, referring to the work of James Gibson, and it explains how this affects our understanding of human capabilities in relation to the affordances of changing environments. Finally, this brief note argues that ‘safer by design’ in the case of nanotechnology will require legal protection by design to make sure that human capabilities are reinvented and sustained in nano-technical environments.

This Article takes the perspective of law and philosophy, integrating insights from computer science. First, I will argue that in the era of big data analytics we need an understanding of privacy that is capable of protecting what is uncountable, incalculable or incomputable about individual persons. To instigate this new dimension of the right to privacy, I expand previous work on the relational nature of privacy, and the productive indeterminacy of human identity it implies, into an ecological understanding of privacy, taking into account the technological environment that mediates the constitution of human identity. Second, I will investigate how machine learning actually works, detecting a series of design choices that inform the accuracy of the outcome, each entailing trade-offs that determine the relevance, validity and reliability of the algorithm’s accuracy for real life problems. I argue that incomputability does not call for a rejection of machine learning per se but calls for a research design that enables those who will be affected by the algorithms to become involved and to learn how machines learn — resulting in a better understanding of their potential and limitations. A better understanding of the limitations that are inherent in machine learning will deflate some of the eschatological expectations, and provide for better decision-making about whether and if so how to implement machine learning in specific domains or contexts. I will highlight how a reliable research design aligns with purpose limitation as core to its methodological integrity. This Article, then, advocates a practice of “agonistic machine learning” that will contribute to responsible decisions about the integration of data-driven applications into our environments while simultaneously bringing them under the Rule of Law. This should also provide the best means to achieve effective protection against overdetermination of individuals by machine inferences.

Law, Human Agency and Autonomic Computing interrogates the legal implications of the notion and experience of human agency implied by the emerging paradigm of autonomic computing, and the socio-technical infrastructures it supports. The development of autonomic computing and ambient intelligence âe" self-governing systems âe" challenge traditional philosophical conceptions of human self-constitution and agency, with significant consequences for the theory and practice of constitutional self-government. Ideas of identity, subjectivity, agency, personhood, intentionality, and embodiment are all central to the functioning of modern legal systems. But once artificial entities become more autonomic, and less dependent on deliberate human intervention, criteria like agency, intentionality and self-determination, become too fragile to serve as defining criteria for human subjectivity, personality or identity, and for characterizing the processes through which individual citizens become moral and legal subjects. Are autonomic âe" yet artificial âe" systems shrinking the distance between (acting) subjects and (acted upon) objects? How âe~distinctively humanâe(tm) will agency be in a world of autonomic computing? Or, alternatively, does autonomic computing merely disclose that we were never, in this sense, âe~humanâe(tm) anyway? A dialogue between philosophers of technology and philosophers of law, this book addresses these questions, as it takes up the unprecedented opportunity that autonomic computing and ambient intelligence offer for a reassessment of the most basic concepts of law.

Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process – the right to contest how the profiling systems are categorizing and deciding about us.

This ground-breaking and timely book explores how big data, artificial intelligence and algorithms are creating new types of agency, and the impact that this is having on our lives and the rule of law. Addressing the issues in a thoughtful, cross-disciplinary manner, the authors examine the ways in which data-driven agency is transforming democratic practices and the meaning of individual choice. Leading scholars in law, philosophy, computer science and politics analyse the latest innovations in data science and machine learning, assessing the actual and potential implications of these technologies. They investigate how this affects our understanding of such concepts as agency, epistemology, justice, transparency and democracy, and advocate a precautionary approach that takes the effects of data-driven agency seriously without taking it for granted. Scholars and students of law, ethics and philosophy, in particular legal, political and democratic theory, will find this book a compelling and invaluable read, as will computer scientists interested in the implications of their own work. It will also prove insightful for academics and activists working on privacy, fairness and anti-discrimination. Contributors include: J.E. Cohen, G. de Vries, S. Delacroix, P. Dumouchel, C. Ess, M. Garnett, E.H. Gerding, R. Gomer, C. Graber, M. Hildebrandt, C. Maple, K. O'Hara, P. Ohm, m.c. schraefel, D. Stevens, N. van Dijk, M. Veale.

This book addresses issues on the nexus of freedom of and property in information, while acknowledging that both hiding and exposing information may affect our privacy. It inquires into the physics, the technologies, the business models, the governmental strategies and last but not least the legal frameworks concerning access, organisation and control of information. It debates whether it is in the very nature of information to be either free or monopolized, or both. Analysing upcoming power structures, new types of colonization and attempts to replace legal norms with techno-nudging, this book also presents the idea of an infra-ethics capable of pre-empting our pre-emption. It discusses the interrelations between open access, the hacker ethos, the personal data economy, and freedom of information, highlighting the ephemeral but pivotal role played by information in a data-driven society. This book is a must-read for those working on the contemporary dimensions of freedom of information, data protection, and intellectual property rights.

The focus of this book is on the epistemological and hermeneutic implications of data science and artificial intelligence for democracy and the Rule of Law. How do the normative effects of automated decision systems or the interventions of robotic fellow 'beings' compare to the legal effect of written and unwritten law? To investigate these questions the book brings together two disciplinary perspectives rarely combined within the framework of one volume. One starts from the perspective of 'code and law' and the other develops from the domain of 'law and literature'. Integrating original analyses of relevant novels or films, the authors discuss how computational technologies challenge traditional forms of legal thought and affect the regulation of human behavior. Thus, pertinent questions are raised about the theoretical assumptions underlying both scientific and legal practice.

Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process – the right to contest how the profiling systems are categorizing and deciding about us.

This article explores the “fair trial” as a good practice for the construction of public proof. If proof signifies closure on matter at hand, and publicness is taken to signify both “access to” and “participation in” the construction of proof by the publics concerned, the authors contend that the “fair trial” is a good example of building public proof and that its backbone constraints can be of great interest to the defenders and advocates of participative Technology Assessment, especially citizens' juries.

This timely book tells the story of the smart technologies that reconstruct our world, by provoking their most salient functionality: the prediction and preemption of our day-to-day activities, preferences, health and credit risks, criminal intent and spending capacity. Mireille Hildebrandt claims that we are in transit between an information society and a data-driven society, which has far reaching consequences for the world we depend on. She highlights how the pervasive employment of machine-learning technologies that inform so-called ‘data-driven agency’ threaten privacy, identity, autonomy, non-discrimination, due process and the presumption of innocence. The author argues how smart technologies undermine, reconfigure and overrule the ends of the law in a constitutional democracy, jeopardizing law as an instrument of justice, legal certainty and the public good. Finally, the book calls on lawyers, computer scientists and civil society not to reject smart technologies, explaining how further engaging these technologies may help to reinvent the effective protection of the rule of law.