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Sciences Po, spring term 2020. Feel free to use with due acknowledgment
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Algorithmic technologies are everywhere to assist, guide, implement and govern human activities. In business, administrative, security, health, humanitarian, financial or commercial interactions, algorithmic devices allocate resources and knowledge using large amount of data, constructing behaviour and subjectivity in a singular manner. The relationship between law and code is often framed as: Is code law? This course investigates the way in which algorithmic devices govern in relation to law and normativity. It is premised on the idea that code and law have to be understood as a hybrid form of governance. The course is developed for students of different disciplinary backgrounds and serves as an introduction to both law and digital technologies from a legal perspective. It is guided by questions such as: What is the relationship between humans and machines with regard to law? What are the specificities of the type of governance performed by algorithmic technologies? What kind of political, scientific, legal and engineering expertise are deployed in algorithmic governance? The course builds on case-based investigations across fundamental legal domains, and theoretical reflections on the themes and modalities of algorithmic law and governance. It draws on interdisciplinary readings from law and governance, data science, ethics, legal theory, philosophy and science and technology studies.
International Journal of Law in Context
It is now well established that algorithms are transforming our economy, institutions, social relations and ultimately our society. This paper explores the question – what is the role of law in the algorithmic society? We draw on the law-jobs theory of Karl Llewellyn and on William's Twining refinement of Llewellyn's work through the perspective of a thin functionalism to have a better understanding of what law does in this new context. We highlight the emergence of an algorithmic law, as law performs jobs such as the disposition of trouble-cases, the preventive channelling and reorientation of conduct and expectations, and the allocation of authority in the face of algorithmic systems. We conclude that the law-jobs theory remains relevant to understanding the role of law in the algorithmic society, but it is also challenged by how algorithms redefine who does or should do what law-jobs, and how they are done.
Constitutional Challenges in the Algorithmic Society
Online human interactions are a continuous matching of data that affects both our physical and virtual life. How data are coupled and aggregated is the result of what algorithms constantly do through a sequence of computational steps that transform the input into the output. In particular, machine learning techniques are based on algorithms that identify patterns in datasets. The paper explores how algorithmic rationality may fit into Weber's conceptualization of legal rationality. It questions the idea that technical disintermediation may achieve the goal of algorithmic neutrality and objective decision-making. 1 It argues that such rationality is represented by surveillance purposes in the broadest meaning. Algorithmic surveillance reduces the complexity of reality calculating the probability that certain facts happen on the basis of repeated actions. Algorithms shape human behaviour, codifying situations and facts, stigmatizing groups rather than individuals, and learning from the past: predictions may lead to static patterns that recall the idea of caste societies, in which the individual potential of change and development is far from being preserved. The persuasive power of algorithms (the so-called nudging) largely consists of small changes aimed at predicting social behaviours that are expected to be repeated in time. This boost in the long run builds a model of antisocial mutation, where actions are oriented. Against such a backdrop, the role of law and legal culture is relevant for individual emancipation and social change in order to frame a model of data production by law. This chapter is divided into four sections: the first part describes commonalities and differences between legal bureaucracy and algorithms, the second part examines the linkage between a datadriven model of law production and algorithmic rationality, the third part shows the different perspective of the socio-legal approach to algorithmic regulation, and the fourth section questions the idea of law production by data as a product of legal culture.
Constitutional Challenges in the Algorithmic Society, 2021
Technologies have always led to turning points for social development. In the past, different technologies have opened the doors towards a new phase of growth and change while influencing social values and principles. Algorithmic technologies fit within this framework. Although these technologies have positive effects on the entire society by increasing the capacity of individuals to exercise rights and freedoms, they have also led to new constitutional challenges. The opportunities of new algorithmic technologies clash with the troubling opacity and lack of accountability. We believe that constitutional law plays a critical role to address the challenges of the algorithmic society. New technologies have always challenged, if not disrupted, the social, economic legal and, to an extent, the ideological status quo. Such transformations impact constitutional values, as the state formulates its legal response to the new technologies based on constitutional principles which meet market dynamics, and as it considers its own use of technologies in light of the limitation imposed by constitutional safeguards. The primary goal of this chapter is to introduce the constitutional challenges coming from the rise of the algorithmic society. The first part of this work examines the challenges for fundamental rights and democratic values with a specific focus on the right to freedom of expression, privacy and data protection. The second part looks at the role of constitutional law in relation to the regulation and policy of the algorithmic society. The third part examines the role and responsibilities of private actors underlining the role of constitutional law in this field. The fourth part deals with the potential remedies which constitutional law can provide to face the challenges of the information society.
Revista de Drept Constituțional
and was firstly published in 2022, under the care of Cambridge University Press. When taking a glance at the contents, we can figure out from the beginning that the book chooses a different approach from the usual wave regarding the use of artificial intelligence in the law field in recent years. What does this distinct viewpoint consist of? We consider that the aim is to extend the usual analyses taken by just to address recent developments and provide answers to evolving dynamics. The declared goal of the authors is, actually, to provide a taxonomy of the constitutional challenges of the algorithmic society, with some focuses on specific challenges, an effort which wasn't made comprehensively until today. The book addresses all the right questions in order to make the reader become aware of the deep changes the society is facing, such as: How has the relationship among powers changed in the algorithmic society? What are the new substantive and procedural rights protecting individuals and democratic values? How can we balance innovation (and the legal incentives for businesses to pursue innovation) with the need to ensure transparency and accountability? To what extent should new forms of public or private law tools be developed to address the challenges posed by the shift to the algorithmic society? Likewise, the book keeps its partitioning flowing into logical chapters and delivers three phases of analysis in this regard. The first part aims to underline the challenges for fundamental rights and democratic values in the algorithmic society and how the fast-growing use of algorithms in various fields including justice could end in biased and erroneous decisions. In particular, this part also offers an overview of human rights threat over the challenges of the power sharing of the public sector and the
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2018
In this brief contribution, I distinguish between code-driven and data-driven regulation as novel instantiations of legal regulation. Before moving deeper into data-driven regulation, I explain the difference between law and regulation, and the relevance of such a difference for the rule of law. I discuss artificial legal intelligence (ALI) as a means to enable quantified legal prediction and argumentation mining which are both based on machine learning. This raises the question of whether the implementation of such technologies should count as law or as regulation, and what this means for their further development. Finally, I propose the concept of 'agonistic machine learning' as a means to bring data-driven regulation under the rule of law. This entails obligating developers, lawyers and those subject to the decisions of ALI to re-introduce adversarial interrogation at the level of its computational architecture.This article is part of a discussion meeting issue 'The g...
Annual Review of Law and Ethics, 2018
Algorithmic copyright governance engenders a series of overlapping crises which collectively threaten to destabilize the Western liberal state. The quantization of culture, typefied by the reduction of nuanced aesthetic judgment to a standardized system of scores and rankings, undermines the autonomy of individuals and communities as vital contributors to, and arbiters of, cultural meaning. The convergence of institutions, typefied in the algorithm’s unified role as legislator, executor, and judge of copyright, betokens the dissolution of the democratic separation of powers, opening the door for authoritarian rule. The expansion of scale creates and normalizes the conditions un- der which traditional means of interpreting and executing the law appear woefully inadequate, and private algorithms become the logical and necessary solution to this failure by the state. Finally, the destabilization of ontology erodes the very conceptual foundations of liberal democracy, replacing an already imbalanced system of power relations with a much steeper hierarchy in which nearly every member of society is relegated to the inferior (and posterior) position of copyist and consumer. Collectively, these developments suggest that we must radically reimagine our copy- right system if we are to preserve the individual agency and collective autonomy that have served as the foundational principles of liberalism and modernity.
Legal Issues in the Digital Age, 2021
At present, algorithms are becoming the heart of society by taking control over the decision-making process as societies are increasingly getting digitalised. There is a consistent theme that an unaccountable, black box technology has taken over the stage and is now making decisions for us, with us, and about us. But the contention around public participation in making decisions in science and technology needs to advance to a stage where there is a more direct conversation between the public and those developing the technologies. With the above mentioned conception of moderating emerging technologies’ development, primarily digital technology due to its overreaching effects on humans and what humans interpret it to be. Firstly, the research through a literature survey is aimed to understand the meaning and nuances of the word algorithm. Then the analysis based on case study is focused on the algorithmic questions, such as bias, privacy, design, transparency, and accountability. In a...
Journal of Information, Communication and Ethics in Society, 2018
PurposeThis paper aims to investigate algorithmic governmentality – as proposed by Antoinette Rouvroy – specifically in relation to law. It seeks to show how algorithmic profiling can be particularly attractive for those in legal practice, given restraints on time and resources. It deviates from Rouvroy in two ways. First, it argues that algorithmic governmentality does not contrast with neoliberal modes of government in that it allows indirect rule through economic calculations. Second, it argues that critique of such systems is possible, especially if the creative nature of law can be harnessed effectively.Design/methodology/approachThis is a conceptual paper, with a theory-based approach, that is intended to explore relevant issues related to algorithmic governmentality as a basis for future empirical research. It builds on governmentality and socio-legal studies, as well as research on algorithmic practices and some documentary analysis of reports and public-facing marketing of ...
Constitutional Challenges in the Algorithmic Society
2.1 new technologies and the rise of the algorithmic society New technologies offer human agents entirely new ways of doing things. 1 However, as history shows, 'practical' innovations always bring with them more significant changes. Each new option introduced by technological evolution allowing new forms affects the substance, eventually changing the way humans think and relate to each other. 2 The transformation is especially true when we consider information and communication technologies (so-called ICT); as indicated by Marshall McLuhan, 'the media is the message'. 3 Furthermore, this scenario has been accelerated by the appearance of artificial intelligence systems (AIS), based on the application of machine learning (ML). These new technologies not only allow people to find information at an incredible speed; they also recast decision-making processes once in the exclusive remit of human beings. 4 By learning from vast amounts of data-the socalled Big Data-AIS offer predictions, evaluations, and hypotheses that go beyond the mere application of pre-existing rules or programs. They instead 'induce' their own rules of action from data analysis; in a word, they make autonomous decisions. 5 1 Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books 2015). 2 One of the most prominent prophets of the idea of a new kind of progress generated through the use of technologies is surely Jeremy Rifkin. See his book The Zero Marginal Cost Society: The Internet of Things, the Collaborative Commons, and the Eclipse of Capitalism (St. Martin's Press 2014). 3 Marshall McLuhan and Quentin Fiore, The Medium Is the Massage (Ginko Press 1967). 4 Committee of Experts on Internet Intermediaries of the Council of Europe (MSI-NET), 'Algorithms and Human Rights. Study on the Human Rights Dimensions of Automated Data Processing Techniques and Possible Regulatory Implications' (2016) DGI(2017)12. 5 According to the European Parliament, 'Resolution of 16 February 2017 with recommendations to the Commission on Civil Law Rules on Robotics (2015/2103(INL))' (P8_TA(2017)0051, Bruxelles), 'a robot's autonomy can be defined as the ability to take decisions and implement them in the outside world, independently of external control or influence.' 27
IJKES, 2024
Whilst there is plenty of new hype around artificial intelligence (AI) as we move into the third decade of the 21st century, the history books would tell you that it has been around for several years. To fully understand the present principles of AI, it is important to begin with a brief overview of its history. Turing claimed that a machine may be considered "intelligent" if it could converse with people while remaining hidden from their awareness. Artificial Intelligence (AI) is poised to revolutionize education by providing personalized learning experiences, improving administrative efficiency, and enhancing overall educational outcomes. This article explores the historical context of AI in education, current applications, benefits and challenges. By leveraging AI technologies, educators can offer tailored instruction, streamline administrative tasks, and utilize data analytics for informed decision-making. However, the integration of AI presents challenges such as ethical concerns, technical issues, and potential societal impacts. Despite these challenges, the benefits of AI in education are significant, promising a future where AI plays a central role in shaping educational practices.
Problems of Education in the 21st Century, 2024
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