Ryan Abbott – författare

This comprehensive Encyclopedia provides a groundbreaking exploration of the transformative impact of artificial intelligence (AI) technology on legal systems worldwide. With over 100 expert-authored entries, the volume delivers authoritative analysis of how rapidly evolving AI technologies intersect with established legal frameworks. The text covers a broad spectrum of topics, from foundational AI concepts to its most advanced applications in legal practice, while addressing the technology's implications across major areas of law.Coverage includes:Intellectual property and rights protection implications of AI, including patentability of AI output, copyright for AI-generated works, trademark issues, trade secrets, publicity rights, data protection, facial recognition technology, and human rightsCivil and criminal law, including liability frameworks, criminal responsibility, evidence analysis, AI judges, predictive policing, and litigation strategiesSector-specific applications and emerging challenges related to healthcare, financial markets, corporate governance, autonomous vehicles, space law, deepfakes, bias, content moderation, AI manipulation, autonomous weapons, and synthetic contentAnalysis of AI legislation and privacy law across North America, Europe, Asia, Africa, Australia, and Latin AmericaThe Elgar Concise Encyclopedia of Artificial Intelligence and the Law is an invaluable reference for scholars, practitioners, and students navigating technology law. Policymakers, regulators, computer scientists, compliance professionals, AI researchers requiring legal context, corporate counsel, and business leaders implementing AI technologies will also benefit from its crucial insights.

This comprehensive Encyclopedia provides a groundbreaking exploration of the transformative impact of artificial intelligence (AI) technology on legal systems worldwide. With over 100 expert-authored entries, the volume delivers authoritative analysis of how rapidly evolving AI technologies intersect with established legal frameworks. The text covers a broad spectrum of topics, from foundational AI concepts to its most advanced applications in legal practice, while addressing the technology's implications across major areas of law.Coverage includes:Intellectual property and rights protection implications of AI, including patentability of AI output, copyright for AI-generated works, trademark issues, trade secrets, publicity rights, data protection, facial recognition technology, and human rightsCivil and criminal law, including liability frameworks, criminal responsibility, evidence analysis, AI judges, predictive policing, and litigation strategiesSector-specific applications and emerging challenges related to healthcare, financial markets, corporate governance, autonomous vehicles, space law, deepfakes, bias, content moderation, AI manipulation, autonomous weapons, and synthetic contentAnalysis of AI legislation and privacy law across North America, Europe, Asia, Africa, Australia, and Latin AmericaThe Elgar Concise Encyclopedia of Artificial Intelligence and the Law is an invaluable reference for scholars, practitioners, and students navigating technology law. Policymakers, regulators, computer scientists, compliance professionals, AI researchers requiring legal context, corporate counsel, and business leaders implementing AI technologies will also benefit from its crucial insights.

This comprehensive Encyclopedia provides a groundbreaking exploration of the transformative impact of artificial intelligence (AI) technology on legal systems worldwide. With over 100 expert-authored entries, the volume delivers authoritative analysis of how rapidly evolving AI technologies intersect with established legal frameworks. The text covers a broad spectrum of topics, from foundational AI concepts to its most advanced applications in legal practice, while addressing the technology's implications across major areas of law.Coverage includes:Intellectual property and rights protection implications of AI, including patentability of AI output, copyright for AI-generated works, trademark issues, trade secrets, publicity rights, data protection, facial recognition technology, and human rightsCivil and criminal law, including liability frameworks, criminal responsibility, evidence analysis, AI judges, predictive policing, and litigation strategiesSector-specific applications and emerging challenges related to healthcare, financial markets, corporate governance, autonomous vehicles, space law, deepfakes, bias, content moderation, AI manipulation, autonomous weapons, and synthetic contentAnalysis of AI legislation and privacy law across North America, Europe, Asia, Africa, Australia, and Latin AmericaThe Elgar Concise Encyclopedia of Artificial Intelligence and the Law is an invaluable reference for scholars, practitioners, and students navigating technology law. Policymakers, regulators, computer scientists, compliance professionals, AI researchers requiring legal context, corporate counsel, and business leaders implementing AI technologies will also benefit from its crucial insights.

AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. This work should be read by anyone interested in the rapidly evolving relationship between AI and the law.

AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. This work should be read by anyone interested in the rapidly evolving relationship between AI and the law.

AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. This work should be read by anyone interested in the rapidly evolving relationship between AI and the law.

AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. This work should be read by anyone interested in the rapidly evolving relationship between AI and the law.

This incisive Handbook offers novel theoretical and doctrinal insights alongside practical guidance on some of the most challenging issues in the field of artificial intelligence and intellectual property. Featuring all original contributions from a diverse group of international thought leaders, including top academics, judges, regulators and eminent practitioners, it offers timely perspectives and research on the relationship of AI to copyright, trademark, design, patent and trade secret law.The Handbook is divided into four thematic parts, beginning with topics that address the intersection of IP and AI broadly before focusing on issues associated with specific types of IP. Chapters tackle critical legal questions, from issues with protecting AI-generated ourput to the impact of AI on how trademarks are used, offering valuable lessons on technology regulation and how technological evolution will disrupt existing legal frameworks.Scholars and students of intellectual property law and its intersections with AI and related technologies will find this Handbook ’s cutting-edge contributions to be a crucial read. Its guidance on the practical legal implications of technological advances will also be of interest to IP practitioners, as well as policymakers and regulators.

This incisive Handbook offers novel theoretical and doctrinal insights alongside practical guidance on some of the most challenging issues in the field of artificial intelligence and intellectual property. Featuring all original contributions from a diverse group of international thought leaders, including top academics, judges, regulators and eminent practitioners, it offers timely perspectives and research on the relationship of AI to copyright, trademark, design, patent and trade secret law.

The Handbook is divided into four thematic parts, beginning with topics that address the intersection of IP and AI broadly before focusing on issues associated with specific types of IP. Chapters tackle critical legal questions, from issues with protecting AI-generated ourput to the impact of AI on how trademarks are used, offering valuable lessons on technology regulation and how technological evolution will disrupt existing legal frameworks.

Scholars and students of intellectual property law and its intersections with AI and related technologies will find this Handbook ’s cutting-edge contributions to be a crucial read. Its guidance on the practical legal implications of technological advances will also be of interest to IP practitioners, as well as policymakers and regulators.