Genuinely broad in scope, each handbook in this series provides a complete state-of-the-field overview of a major sub-discipline within language study, law, education and psychological science research.
Genuinely broad in scope, each handbook in this series provides a complete state-of-the-field overview of a major sub-discipline within language study, law, education and psychological science research.
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With the field of personal relationships continuing to see significant growth over the past quarter century, The Cambridge Handbook of Personal Relationships stands as a crucial benchmark of the current state of scholarship. This third edition presents new chapters addressing significant changes in techniques for studying relationships and examining recent emphases on technology and diverse relationships while also featuring a fresh analysis of current research foci and applications. By synthesizing theoretical and empirical literature, the work not only traces the discipline's historical roots but recommends future directions, marking an important step forward in improving research and theory on personal relationships. Featuring contributions from internationally known experts who have significantly enhanced relationship research in multiple fields including psychology, communication, family studies, and sociology, it is an essential resource for researchers, graduate students, and practitioners alike.
Bringing together a globally representative team of scholars, this Handbook provides a comprehensive overview of comparative syntax, the study of universal and variable properties of the structure of building blocks in natural language. Divided into four thematic parts, it covers the various theoretical and methodological approaches to syntactic variation; explores dependency relations and dependency marking; shows how the building blocks of syntax both vary and display universal properties across languages, and explores the interfaces between syntax and other aspects of language structure. It also includes examples from a typologically broad range of languages, as well as data from child language, sign language, language processing, and diachronic syntax, giving a clear picture of the ubiquity of cross-linguistic variation. It serves as a source of inspiration for future research, and forges a deeper understanding of the variant and invariant parts of language, making it essential reading for researchers and students in linguistics.
Although multilingual education is still a relatively new field, it has already become a solid and dynamic area of academic investigation growing worldwide. Bringing together a stellar line-up of leading experts, this Handbook covers a wide range of topics crucial for understanding the concept of multilingual education and its implementation. It includes a wide range of overviews and case studies from diverse systems of education from across the globe, to help facilitate effective multilingual instruction relevant in the realities of local and global contexts. All chapters are written in a knowledgeable, yet accessible, style, and the theory is introduced step-by-step, to provide a rich resource for classroom instructors worldwide. It will serve as the principal text for many of the rapidly increasing multilingual programmes, degrees, courses and seminars devoted to multilingual education in tertiary institutions worldwide, as well as a reference text for instructors in primary and secondary education.
The topic of language and brain is a large and significant area of research and study, and this Handbook provides a state-of-the-art survey of the field. Bringing together contributions from an interdisciplinary team of internationally-renowned scholars, it focuses on important theoretical positions that have changed the study of language and brain in the first two decades of the 21st century. It is split into seven thematic parts, covering topics such as theoretical foundations of language and brain, neuroimaging studies of brain and language, language and cognitive development, building cognitive brain reserve and the importance of proficiency, aphasia and autism spectrum disorders, brain, language and music, and new directions and perspectives. Representing the most powerful trends in the field, it will inform new directions in the study of language and brain, cognitive neuroscience and neuroimaging, and scholars and advanced students will find this compilation an invaluable resource for years to come.
The chapter discusses the evolution of justice and dispute resolution in the era of LawTech (LT). Traditional taxonomies of justice are mirrored in new forms of digital dispute settlement (DDS), where the idealized Justice Hercules is compared to the prospect of robo-judges. Currently, LT primarily supports traditional courts as they transition to e-courts. Alternative dispute resolution (ADR) is evolving into online dispute resolution (ODR), with blockchain-based crowdsourcing emerging as a potential alternative to traditional justice. Hybrid models of dispute resolution are also taking shape. The chapter outlines assessment criteria for adopting LT in digital systems, focusing on ensuring that DS in the digital economy remains independent, impartial, and enforceable. Human centricity is core construct for the co-development of LT and DS. This overarching principle requires human oversight, transparency, data privacy, and fairness in both access and outcomes.
Technological disruption leads to discontent in the law, regarding the limited remedies that are available under private law. The source of the problem is a ‘private law’ model that assumes that the function of law is to correct wrongs by compensating individuals who are harmed. So, the model is based on (i) individual claimants and (ii) financial redress. If we copy this private law model into our regulatory regimes for new technologies our governance remedies will fall short. On the one hand, the use of AI can affect in a single act a large number of people. On the other hand, not all offences can be cured through awarding money damages. Therefore, it is necessary to rethink private remedies in the face of AI wrongs to make law effective. To achieve this, the mantra of individual compensation has to be overcome in favor of a social perspective should prevail including the use of non-pecuniary measures to provide effective remedies for AI wrongs.
Provided the law’s classifications are broadly drawn, technological innovation will not require the classifications to be redrawn or new categories to be introduced. This is not to say, however, that innovations will never require a rethinking of old categories or the invention of new ones. Difficult as that may be, the more difficult issue is detecting disruptions in the first place. Some truly disruptive innovations, such as computer programs, may be hidden from view for a variety of reasons. Others, touted as disruptive, such as cryptoassets, may not really be the case.
Failures of environmental law to preserve, protect and improve the environment are caused by law’s contingency and constitutional presumptions of supremacy over the self-regulatory agency of nature. Contingency problems are intrinsic to law and, therefore, invite deployment of technologies. Constitutional presumptions can be corrected through geo-constitutional reform. The latter requires the elaboration of geo-constitutional principles bestowing authority on nature’s self-regulatory agency. It is suggested that principles of autonomy, loyalty, pre-emption, supremacy and rights have potential to serve that aim and imply proactive roles for technologies in environmental governance. Geo-constitutional reform is necessary to prevent the fatal collapse of the natural regulatory infrastructure enabling life and a future of environmental governance by design. Once environmental catastrophe has materialized, however, geo-constitutionalism loses its raison d’être.
This chapter argues that, as evidenced by EU digital law and EU border management, the EU legislature is complicit in the creation of complex socio-technical systems that undermine core features of the EU’s legal culture. In the case of digital law, while the EU continues to govern by publicly declared and debated legal rules, the legal frameworks – exemplified by the AI Act – are excessively complex and opaque. In the case of border management, the EU increasingly relies not on governance by law but on governance by various kinds of technological instruments. Such striking departures from the EU’s constitutive commitments to the rule of law, democracy and respect for human rights, are more than a cause for concern; they raise profound questions about what it now means to be a European.
This chapter challenges the conventional wisdom of how users of social media platforms such as Instagram, X, or TikTok pay for service access. It argues that rather than merely exchanging data for services, users unknowingly barter their attention, emotions, and cognitive resources – mental goods that corporations exploit through technologically managed systems like targeted advertising and habit-forming design. The chapter explores how these transactions are facilitated not by legal contracts but by code, which allows social media companies to extract value in ways that traditional legal conceptual frameworks cannot capture. It further highlights the negative externalities of these exchanges, such as cognitive impairments and mental health issues, framing them as pollution byproducts of the attention economy. By examining both the visible and hidden dimensions of this technologically mediated exchange, the chapter calls for a deeper understanding of the mechanisms that govern our interactions with digital platforms rather than rushing to propose new legal solutions.
Advanced AI (generative AI) poses challenges to the practice of law and to society as a whole. The proper governance of AI is unresolved but will likely be multifaceted (soft law such as standardisation, best practices and ethical guidelines), as well as hard law consisting of a blend of existing law and new regulations. This chapter argues that ‘lawyer’s professional codes’ of conduct (ethical guidelines) provide a governance system that can be applied to the AI industry. The increase in professionalisation warrants the treating of AI creators, developers and operators, as professionals subject to the obligations foisted on the legal profession and other learned professions. Legal ethics provides an overall conceptual structure that can guide AI development serving the purposes of disclosing potential liabilities to AI developers and building trust for the users of AI. Additionally, AI creators, developers and operators should be subject to fiduciary duty law. Fiduciary duty law as applied to these professionals would require a duty of care in designing safe AI systems, a duty of loyalty to customers, users and society not to create systems that manipulate consumers and democratic governance and a duty of good faith to create beneficial systems. This chapter advocates the use of ethical guidelines and fiduciary law not as soft law but as the basis of structuring private law in the governance of AI.
Law’s governance seemingly faces an uncertain future. In one direction, the alternative to law’s governance is a dangerous state of disorder and, potentially, existential threats to humanity. That is not the direction in which we should be going, and we do not want our escalating discontent with law’s governance to give it any assistance. Law’s governance is already held in contempt by many. In the other direction, if we pursue technological solutions to the imperfections in law’s governance, there is a risk that we diminish the importance of humans and their agency. If any community is contemplating transition to governance by technology, it needs to start its impact assessment with the question of whether the new tools are compatible with sustaining the foundational conditions themselves.
This chapter analyses the public and private governance structure of the EU AI Act (AIA) and its associated ecosystem of compliance and conformity. Firstly, the interaction of public and private governance in the making of AI law meant to concretise the rules in the AIA is analysed. Secondly, the focus shifts to the interaction of public and private governance in the Act’s enforcement through compliance, conformity and public authorities. Thirdly, it is argued that the EU legislature has neither fully developed public private governance nor the interaction between the two. As a result, there are many gaps in the involvement of civil society in compliance, conformity and enforcement of private regulations, in particular harmonized technical standards, Codes of Practice and Codes of Conduct. Moreover, the extreme complexity of the AIA’s governance structure is likely to trigger litigation between AI providers and deployers and the competent surveillance authorities, or more generally in B2B and B2C relations.
This chapter examines three reasons for discontent with law’s governance of technology. Reservations concern the exercise of legal powers, the convenience of legal regulations, and prestige. The analysis is supplemented with the impact that the pace of technological innovation has on legal systems and the distinction between internal and external problems of legal governance. The internal problems regard the efficacy, efficiency, and overall soundness of the normative acts; the external problems are related to the claims of further regulatory systems in society, such as the forces of the market, or of social customs. By following the recommendations of Leibniz in the sixth paragraph of his Discourse on Metaphysics, the overall idea is to discuss the simplest possible hypothesis to attain the richest world of phenomena. Discontent with law’s governance of technology is indeed a complex topic with manifold polymorphous ramifications.
This chapter presents an extended critique of the Quoine case in Singapore where the seven trades at issue were fully automated. The central point of the case is that one or both contracting parties decided to deploy or rely on technological assistance and that does not in itself justify a departure or a deviation from long-standing legal principles of contract law. While there is no denying that the contracting process can be optimized by means of a broad range of technologies of varying complexity and that such technologies often create unique risks, it does not follow that such technologies have a disruptive effect on contract law itself. Innovation in commercial dealings need not lead to an innovation in contract law. To the contrary, the latter has shown a surprising resilience to technological disruption, mainly due to the broad, flexible, and technology neutral formulation of its core principles.