This timely Companion provides a comprehensive overview of the relationship between applied ethics and the development and use of Artificial Intelligence (AI). Adopting a holistic approach, an array of global experts identify the norms at stake, map the legal landscape, and contextualize normative expectations in relevant use cases of AI.

This timely Companion provides a comprehensive overview of the relationship between applied ethics and the development and use of Artificial Intelligence (AI). Adopting a holistic approach, an array of global experts identify the norms at stake, map the legal landscape, and contextualize normative expectations in relevant use cases of AI. The Elgar Companion to Applied AI Ethics explores the principles and notions that stakeholders confront in the development and implementation of AI technologies. Chapters examine the EU and US approaches to AI legalization, and question the extent to which different legal strategies adopted by Western governments foster a common international understanding of AI regulation. Diverse case studies of applied AI are discussed, covering autonomous driving, digital finance, AI and education, virtual cities, video games, and social robots. Ultimately, the Companion emphasizes the importance of incorporating non-Western perspectives into the global discourse on AI ethics and highlights the need to create effective frameworks which prevent AI solutions from negatively impacting individuals' mental health. This Companion is an invaluable resource for legal students and academics working in AI, information technology, social sciences, computer sciences, and human rights. Its practical implications for the future of technology will also be of interest to professionals working in international public policy and management staff concerned with digital ethics.

This book sets out a possible trajectory for the co-development of legal responsibility on the one hand and artificial intelligence and the machines and systems driven by it on the other. As autonomous technologies become more sophisticated it will be harder to attribute harms caused by them to the humans who design or work with them. This will put pressure on legal responsibility and autonomous technologies to co-evolve. Mark Chinen illustrates how these factors strengthen incentives to develop even more advanced systems, which in turn strengthens nascent calls to grant legal and moral status to autonomous machines. This book is a valuable resource for scholars and practitioners of legal doctrine, ethics, and autonomous technologies.

This timely book presents a detailed analysis of the role of law and regulation in the utilisation of Artificial Intelligence (AI) in the media sector. As well as contributing to the wider discussion on law and AI, the book also digs deeper by exploring pressing issues at the intersections of AI, media, and the law. Chapters critically re-examine various rights and responsibilities from the perspectives of incentives for accountable utilisation of AI in the industry.

Woodrow Barfield and Ugo Pagallo present a succinct introduction to the legal issues related to the design and use of artificial intelligence (AI). Exploring human rights, constitutional law, data protection, criminal law, tort law, and intellectual property law, they consider the laws of a number of jurisdictions including the US, the European Union, Japan, and China, making reference to case law and statutes.

This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.

Committed to highlighting the regulatory needs and priorities of emerging economies in the context of AI and big data, this expertly crafted Companion explores the nature and role of regulation in the Global South from a techno-dependent societal perspective. It not only amplifies the unspoken and underrepresented voices in AI and data regulation scholarly discourse, but also provides a novel approach to otherwise recipient economies in an age of digital transformation.