In spring 2024, the European Union formally adopted the AI Act, aimed at creating a comprehensive legal regime to regulate AI systems. In so doing, the Union sought to maintain a harmonized and competitive single market for AI in Europe while demonstrating its commitment to protect core EU values against AI’s adverse effects. In this chapter, we question whether this new regulation will succeed in translating its noble aspirations into meaningful and effective protection for people whose lives are affected by AI systems. By critically examining the proposed conceptual vehicles and regulatory architecture upon which the AI Act relies, we argue there are good reasons for skepticism, as many of its key operative provisions delegate critical regulatory tasks to AI providers themselves, without adequate oversight or redress mechanisms. Despite its laudable intentions, the AI Act may deliver far less than it promises.

In virtually all societal domains, algorithmic systems, and AI more particularly, have made a grand entrance. Their growing impact renders it increasingly important to understand and assess the challenges and opportunities they raise – an endeavor to which this book aims to contribute. In this chapter, I start by putting the current “AI hype” into context. I emphasize the long history of human fascination with artificial beings; the fact that AI is but one of many powerful technologies that humanity has grappled with over time; and the fact that its uptake is inherently enabled by our societal condition. Subsequently, I introduce the chapters of this book, dealing with AI, ethics and philosophy (Part I); AI, law and policy (Part II); and AI across sectors (Part III). Finally, I discuss some conundrums faced by all scholars in this field, concerning the relationship between law, ethics and policy and their roles in AI governance; the juxtaposition between protection and innovation; and law’s (in)ability to regulate a continuously evolving technology. While their solutions are far from simple, I conclude there is great value in acknowledging the complexity of what is at stake and the need for more nuance in the AI governance debate.

The central aim of this book is to provide an accessible and comprehensive overview of the legal, ethical, and policy implications of AI and algorithmic systems more broadly. As these technologies have a growing impact on all domains of our lives, it is increasingly important to map, understand, and assess the challenges and opportunities they raise. This requires an interdisciplinary approach, which is why this book brings together contributions from a stellar set of authors from different disciplines, with the goal of advancing the understanding of AI’s impact on society and how such impact is and should be regulated. Beyond covering theoretical insights and concepts, the book also provides practical examples of how AI systems are used in society today and which questions are raised thereby, covering both horizontal and sectoral themes. Finally, the book also offers an introduction into the various legal and policy instruments that govern AI, with a particular focus on Europe.

Public administrations are increasingly deploying algorithmic systems to facilitate the application, execution, and enforcement of regulation, a practice that can be denoted as algorithmic regulation. While their reliance on digital technology is not new, both the scale at which they automate administrative acts and the importance of the decisions they delegate to algorithmic tools is on the rise. In this chapter, I contextualize this phenomenon and discuss the implementation of algorithmic regulation across several public sector domains. I then assess some of the ethical and legal conundrums that public administrations face when outsourcing their tasks to such systems and provide an overview of the legal framework that governs this practice, with a particular focus on the European Union. This framework encompasses not only constitutional and administrative law but also data protection law and AI-specific law. Finally, I offer some take-aways for public administrations to consider when seeking to deploy algorithmic regulation.

As its name indicates, algorithmic regulation relies on the automation of regulatory processes through algorithms. Examining the impact of algorithmic regulation on the rule of law hence first requires an understanding of how algorithms work. In this chapter, I therefore start by focusing on the technical aspects of algorithmic systems (Section 2.1), and complement this discussion with an overview of their societal impact, emphasising their societal embeddedness and the consequences thereof (Section 2.2). Next, I examine how and why public authorities rely on algorithmic systems to inform and take administrative acts, with special attention to the historical adoption of such systems, and their impact on the role of discretion (Section 2.3). Finally, I draw some conclusions for subsequent chapters (Section 2.4).

In this book, I examined how public authorities’ reliance on algorithmic regulation can affect the rule of law and erode its protective role. I conceptualised this threat as algorithmic rule by law and evaluated the EU legal framework’s safeguards to counter it. In this chapter, I summarise my findings, conclude that this threat is insufficiently addressed (Section 6.1) and provide a number of recommendations (Section 6.2). Finally, I offer some closing remarks (Section 6.3). Algorithmic regulation promises simplicity and a route to avoid the complex tensions of legal rules that are continuously open to multiple interpretations. Yet the same promise also threatens liberal democracy today, as illiberal and authoritarian tendencies seek to eliminate plurality in favour of simplicity. The threat of algorithmic rule by law is hence the same that also threatens liberal democracy: the elimination of normative tensions by essentialising a single view. The antidote is hence to accept not only the normative tensions that are inherent in law but also the tensions inherent in a pluralistic society. We should not essentialise the law’s interpretation, but embrace its normative complexity.

This chapter introduces the main research themes of this book, which explores two current global developments. The first concerns the increased use of algorithmic systems by public authorities in a way that raises significant ethical and legal challenges. The second concerns the erosion of the rule of law and the rise of authoritarian and illiberal tendencies in liberal democracies, including in Europe. While each of these developments is worrying as such, in this book, I argue that the combination of their harms is currently underexamined. By analysing how the former development might reinforce the latter, this book seeks to provide a better understanding of how algorithmic regulation can erode the rule of law and lead to algorithmic rule by law instead. It also evaluates the current EU legal framework which is inadequate to counter this threat, and identifies new pathways forward.