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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. The volume argues for legal AI assistants as a public good that should be accessible to all.
The Cambridge Handbook of Behavioural Data Science offers an essential exploration of how behavioural science and data science converge to study, predict, and explain human, algorithmic, and systemic behaviours. Bringing together scholars from psychology, economics, computer science, engineering, and philosophy, the Handbook presents interdisciplinary perspectives on emerging methods, ethical dilemmas, and real-world applications. Organised into modular parts-Human Behaviour, Algorithmic Behaviour, Systems and Culture, and Applications—it provides readers with a comprehensive, flexible map of the field. Covering topics from cognitive modelling to explainable AI, and from social network analysis to ethics of large language models, the Handbook reflects on both technical innovations and the societal impact of behavioural data, and reinforces concepts in online supplementary materials and videos. The book is an indispensable resource for researchers, students, practitioners, and policymakers who seek to engage critically and constructively with behavioural data in an increasingly digital and algorithmically mediated world.
The Cambridge Handbook of AI in Civil Dispute Resolution is the first global, in-depth exploration of how artificial intelligence is transforming civil justice. Moving past speculation, it showcases real-world applications-from predictive analytics in Brazil's courts to generative AI in the Dutch legal system and China's AI-driven Internet Courts. Leading scholars and practitioners examine the legal, ethical, and regulatory challenges, including the EU AI Act and emerging governance frameworks. With rich case studies and comparative insights, the book explores AI's impact on access to justice, procedural fairness, and the evolving public–private balance. Essential reading for legal academics, policymakers, technologists, and dispute resolution professionals, it offers a critical lens on AI's promise-and its limits-in reshaping civil dispute resolution worldwide.
This Handbook is the first global comparative volume that examines the use of AI and digital technologies in courts. With contributions from over seventy academics, judges, and other professionals from over twenty-five countries, it provides an interdisciplinary and cross-jurisdictional perspective on how judicial institutions are responding to the opportunities and risks posed by AI. Covering judicial use of AI across domestic and regional jurisdictions in Europe, North and South America, Asia-Pacific and Africa, this Handbook begins with the premise that introducing AI into courts is not merely a technical upgrade but a constitutional reckoning and fresh call for judicial accountability. Each chapter examines not just what AI can do for courts, but what courts must do to ensure that AI tools enhance, rather than erode judicial values, justice and the rule of law.
For far too long, tech titans peddled promises of disruptive innovation - fabricating benefits and minimizing harms. The promise of quick and easy fixes overpowered a growing chorus of critical voices, driving a sea of private and public investments into increasingly dangerous, misguided, and doomed forms of disruption, with the public paying the price. But what's the alternative? Upgrades - evidence-based, incremental change. Instead of continuing to invest in untested, high-risk innovations, constantly chasing outsized returns, upgraders seek a more proven path to proportional progress. This book dives deep into some of the most disastrous innovations of recent years - the metaverse, cryptocurrency, home surveillance, and AI, to name a few - while highlighting some of the unsung upgraders pushing real progress each day. Timely and corrective, Move Slow and Upgrade pushes us past the baseless promises of innovation, towards realistic hope.
Governing AI is about getting AI right. Building upon AI scholarship in science and technology studies, technology law, business ethics, and computer science, it documents potential risks and actual harms associated with AI, lists proposed solutions to AI-related problems around the world, and assesses their impact. The book presents a vast range of theoretical debates and empirical evidence to document how and how well technical solutions, business self-regulation, and legal regulation work. It is a call to think inside and outside the box. Technical solutions, business self-regulation, and especially legal regulation can mitigate and even eliminate some of the potential risks and actual harms arising from the development and use of AI. However, the long-term health of the relationship between technology and society depends on whether ordinary people are empowered to participate in making informed decisions to govern the future of technology – AI included.
This chapter provides an introduction to the concepts of privacy, such as privacy-by-design and provides specific challenges related to privacy in HCI such as personally identifiable information, personal health data, personal genetic data, and location data. The chapter discusses Federal and state laws, as well as case law related to privacy of information, and how interfaces may enhance privacy or confuse users.
This chapter focuses on the technology-based interfaces/mechanisms used for voting, and the legal rules specifying the user experience of those electronic technologies used for voting. A legal history of electronic mechanisms for voting is presented, with a focus on the most influentual current Federal statutes--the Help America Vote Act (HAVA) and The Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA).
This chapter provides (1) an overview of human subjects research in HCI; (2) a brief history of legal regulation for human subjects research in the United States; (3) an overview of applicable laws and how these are operationalized for academic research via university Institutional Review Boards (IRBs); (4) challenges for HCI research specifically under this regulatory regime; and (5) regulatory mechanisms for research beyond formal law, including professional responsibility and social norms.
This chapter provides an introduction to the core concepts of HCI, for those with a legal background but not an HCI background. The chapter covers the history of HCI, the role of the individual user, different disciplines contributing to the "waves of HCI", the key role of design in HCI, HCI organizations, and doing user research.
Artificial Intelligence is an area of law where legal frameworks are still in early stages. The chapter discusses some of the core HCI-related concerns with AI, including deepfakes, bias and discrimination, and concepts within AI and intellectual property including AI infringement and AI protection
This chapter will delve into the relationship between intellectual property (IP) and human-computer interaction (HCI), examining how intellectual property rights and limitations influence the design process, drive technological progress, and shape user experiences.The chapter provides detailed discussions of the three main types of IP providing recognition and/or financial benefit for what people invent or create: patent, copyright, and trademark.
This chapter focuses on treaties, which can be established between individual countries or can be multilateral, such as those involving the United Nations. While much of the international law that impacts the U.S. is in the form of a treaty, there are also international laws that impact HCI in the U.S., such as the GDPR. Because the focus of this book is on U.S. law, the reason why only certain treaties and international laws are discussed in this chapter relates to their direct relevance or strong influence on U.S. law and HCI.
This chapter covers the core concepts of digital accessibility, including different definitions of accessibility, born-accessible design, technical standards for accessibility such as WCAG and EPUB3, core legal rules for accessibility including Section 504 and Section 508 of the Rehabilitation Act, the Americans with Disabilities Act, the Air Carrier Access Act, and the 21st Century Communications and Video Accessibility Act, as well as state laws related to digital accessibility. This chapter also describes concepts in the legal framework including effective communications and nexus.