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The Cambridge Handbook of the Law of Networks, Platforms and Utilities offers a comparative and multi-sector analysis of the most important industries shaping people's lives, including transportation, communications, finance, energy, technology, and social infrastructure. Enterprises in these sectors are unlike other businesses because they form the basic infrastructure for commerce and society. Network, platform, and utility (NPU) enterprises tend toward monopoly or oligopoly, and often involve structurally unequal bargaining power because of economies of scale, network effects, special skills, and high capital costs. As a result, NPU enterprises around the world have generally been governed by distinctive legal regimes: public ownership, public utility regulation and oversight, or public options alongside private businesses. The Cambridge Handbook of the Law of Networks, Platforms and Utilities brings together leading scholars to capture the central themes and concepts in the field and describe how countries around the world govern NPU enterprises.
The book examines how civil disputes are resolved in England and Wales, where courts, alternative dispute resolution (ADR), and digital technologies increasingly interact within a pluralist justice system. Part I analyses adjudicative processes-particularly litigation and arbitration-as mechanisms for delivering substantive justice. Part II explores consensual and hybrid approaches, including negotiation, mediation, and ombudsman schemes, focusing on their adaptability and emphasis on early settlement. Part III considers technological innovation, including Online Dispute Resolution, digital courts, and artificial intelligence, and how these developments are reshaping access to justice. Tracing the convergence of adjudicative, consensual, and digital processes, the book argues that technology is dissolving traditional boundaries between court-based and ADR methods. It advances a conceptual and practical framework for twenty-first-century civil dispute resolution, integrating doctrinal, comparative, and policy insights, and it positions justice, settlement, and technology as the core pillars of analysis and reform.
The Generative AI revolution is driven by corporations demanding legal superpowers. If we allow it to continue unchecked, the implications will be profound. This urgent, critical book exposes the unprecedented push by trillion-dollar companies to build AI on billions of unauthorized human works and redefine fundamental areas of law, including copyright, contract, and free speech. Written by an industry insider who turned from AI champion to AI critic, this highly accessible work promotes AI literacy and provides essential tools to pierce the hype. Readers will learn how to assess AI's profound societal risks to democracy and autonomy and ensure that we are the architects of-and not bystanders in-our artificial future.
In the face of the everchanging and increasingly complex regulatory and socio-technical challenges posed by AI and the Internet of Things, there is an urgent need for closer collaboration between technology designers and lawyers. Accountable Design provides a timely framework for bridging disciplines to design legally accountable technologies. Proposing the new concept of Accountable Design, Lachlan David Urquhart explores how to incorporate legal values into human-centered design processes. Three novel case studies ground discussion by showcasing uses of new technologies in cities, homes, and biometric applications while exploring how to design for privacy, security, trust, and safety. The book synthesizes insights from across technology law, human-computer-interaction, design research, science and technology studies, and philosophy of technology to address the challenges of building better technological design futures for humans and society.
Clinicians and consumers have long been interested in using purpose-built chatbots to provide mental health support. Specifically designed therapy chatbots are now available direct-to-consumer, even though researchers have yet to establish their efficacy, safety and viability. However, whatever their clinical merits or limitations, the role for specialised therapy chatbots has been overshadowed by the increasing number of people using AI companions and general-purpose generative AI for mental health support. Reports have implicated these offerings in instances of user self-harm, prompting calls for more robust regulation across the entire field. This Element examines the opportunities, risks and legal landscape of AI for direct-to-consumer mental health support and considers a response of distributed regulatory networks. This approach abandons any pretence of a single body of law providing an effective and palatable response for concerns raised by therapy chatbots and the challenges posed by evolving technologies operating in sensitive domains.
This collection of articles and interviews surveys human-centered approaches to machine learning that can make AI more human-friendly, usable, and ethical. It provides a handbook for students, researchers, and practitioners who want new ways of approaching AI that place humanity at their center. It shows how to apply methods from human-computer interaction to the new technologies of AI and ML with a view to enabling computing technology to become user-friendly and human-centric. The book has 13 articles and 9 interviews from a range of different perspectives, helping readers understand existing machine learning systems and their impacts on people and society. It is an ideal introduction both for human-computer interaction practitioners who are interested in working with ML and for ML experts interested in making their practice more human-centered. The book offers a critical lens on existing machine learning alongside an optimistic vision of AI in the service of humanity.
Millions of individuals worldwide struggle to understand and assert their legal rights without legal representation. Equalizing Justice examines how AI and other technologies can address this access to justice crisis by providing unrepresented litigants with knowledge and skills traditionally available only through lawyers. This volume takes a needs-first approach, identifying tasks that unrepresented litigants must complete and mapping specific technologies to each task, such as generative AI, computational logic, and document automation. The book highlights real-world applications, demonstrating proven impact, and presents case studies and interviews to explore both the potential positive outcomes and potential challenges of AI for access to justice. Equalizing Justice proves that AI technologies offer unprecedented opportunities to create equitable justice systems serving everyone, not just those who can afford representation, and that legal AI assistants should be treated as a public good accessible to all. In honor of Karl Branting, 100% of the royalties from this book will be donated to a nonprofit organization that uses artificial intelligence to expand access to justice.
This chapter focuses on how AI influences arbitrators’ core tasks and decision-making – a development often described as ‘centaur arbitration’ – while recognising that, for now, the widespread use of AI by counsel is the main driver pushing this evolution forward. We address three central questions: (a) How do arbitrators currently use AI, and how might this develop in the future? (b) What challenges arise, and how do emerging guidelines seek to address them? (c) How does the use of AI by all arbitration participants affect the tribunal’s role and the balance between party autonomy, due process, and efficiency? By examining current practices alongside likely future developments, this chapter offers insights for practitioners and policymakers navigating the rapidly changing intersection of AI and arbitration. It shows how AI may redefine the tribunal’s responsibilities and reshape relationships within proceedings, highlighting the need for proactive regulation and thoughtful adaptation. Rather than advancing a normative conclusion, we aim to encourage reflection on how technological progress may influence our understanding of fairness, justice, and procedural integrity in arbitration.
Access to justice is a critical element of the rule of law, ensuring individuals can exercise their legal rights and resolve disputes through formal and alternative mechanisms. In the Netherlands, the judiciary plays a vital role in facilitating this access, but challenges remain, particularly for vulnerable groups. This paper introduces voorRecht-rechtspraak, an innovative online dispute resolution platform designed to address three key barriers to access: the presumption of citizen self-reliance, limited accessibility of legal aid, and the high costs of legal proceedings. Through a user-centred design and the integration of artificial intelligence (AI), voorRecht offers tools to support self-resolution of disputes while also providing structured human assistance for more complex cases. AI-driven features, such as simplified case-law summaries and semantic search functionality, improve the accessibility of legal information for non-experts, empowering citizens to engage with the law more effectively. While voorRecht is still in an iterative phase of development, early insights highlight its potential to reshape access to justice in the Dutch legal system.
Generative artificial intelligence (GenAI) represents a major shift in technological innovation, capable of transforming daily life and professional sectors, including the law. GenAI leverages advanced models to create new content, from text and images to music. In legal practice, it offers opportunities to streamline tasks like legal research, document drafting, contract review, and client communication. However, widespread use of general-purpose GenAI tools (e.g., ChatGPT) not designed specifically for legal contexts introduces significant risks. These include factual inaccuracies, breaches of confidentiality, privacy violations, and potential copyright infringements. Some US court cases have already revealed the misuse of AI, citing fabricated case-laws. In response, there is growing demand to regulate AI use in the legal field through revised codes of conduct and specific guidelines. This study focuses on the mentioned national and international guidelines issued for legal professionals using GenAI. Using content analysis methods, the research sheds light on shared policies such as the necessity of client consent and confidentiality protection and risks forecasted as intellectual property violations and the reinforcement of cognitive biases, highlighting how bar associations and similar bodies are shaping responsible AI use in legal practice.
The adoption of AI in arbitration practice has increased significantly in the past few years. Even though AI has not been adopted to date for the purpose of arbitral decision-making in international commercial arbitration, questions arise regarding its use in the decision-making process by arbitrators. There have been new regulatory developments on this in the past year with the publication of several guidelines on the use of AI in international commercial arbitration and the promulgation of the EU AI Act. The chapter carries out an analysis of these instruments and the current arbitration framework in order to provide a clarification on the evolving position of the law on this matter. The chapter namely explores the extent to which the regulatory framework considers that the use of AI tools in the decision-making process by arbitrators could lead to influencing the arbitrators’ decision, which could lead to delegation of justice. The chapter argues that the international commercial arbitration framework does not expressly prohibit the use of AI in decision-making by arbitrators but that this use can come under breach of the arbitrator’s personal mandate and due process.
Access to justice is a fundamental right, yet for millions of people around the world resolution of legal problems via both formal and informal means is not available, affordable, accessible, or understandable. This chapter explains how artificial intelligence (AI) is making a practical difference in the problems of everyday people through the exploration of three case studies: two expert systems, including both an eviction defence system and a tool to help with a high-volume immigration clinic, and a conversational AI tool that incorporates a large language model to provide legal information to tenants in Illinois. Ultimately, this chapter shows the range of impacts that AI will have on the legal profession, from methods of legal service delivery, to replacing routine legal tasks, or by offering significant support by freeing up resources and providing essential legal assistance to those who might otherwise go without. Through concrete examples and discussions of both benefits and challenges, we invite legal professionals and policymakers to consider AI’s role in creating a more just global legal system.