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The best hope for peace and prosperity in our world is the expansion of information, and, as such, Artificial Intelligence (AI) was created to process an infinite amount of information. As men and women continue to perfect AI, monitoring its evolution can be both enlightening and unnerving. This book showcases the immense utility of AI and its “superhuman” characteristics. Without a doubt, patents play an important role in the remarkable progression of AI, exposing pioneering innovations that stimulate future improvements. From 1987 to 2017, at least one hundred and fifty patents with the phrase “artificial intelligence” in the title were granted by the United States Patent and Trademark Office. This important book provides an easy-to-read summary of such patents. Within many of the summaries, there are inventor profiles and news articles that are insightful and thought-provoking. Pioneering inventors hail from China, Denmark, France, Germany, Italy, Japan, Korea, New Zealand, Russia, and Taiwan. Prominent organizations include Amazon, Disney, Ford, IBM, Intel, Microsoft, and Sony. Throughout the book, diverse quotes present the emotional impact of Artificial Intelligence. In reverence to Alan Mathison Turing (1912-1954), widely considered the father of AI, this book explores fascinating aspects of computing machinery that can process information to the nth power in a blink.
The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.
This edited volume provides a broad and comprehensive picture of the intersection between Artificial Intelligence technology and Intellectual Property law, covering business and the basics of AI, the interactions between AI and patent law, copyright law, and IP administration, and the legal aspects of software and data.
This volume is for students and scholars of intellectual property law, practitioners seeking creative arguments from across the field, and policymakers searching for solutions to changing social and technological issues. The book explores the tensions between two fundamentally competing demands made of IP law.
Patents as an Incentive for Innovation Edited by Rafal Sikorski & Zaneta Zemla-Pacud Patents are a reward for human inventiveness. A well-functioning patent system must provide incentives for innovation, safeguard dynamic competition and protect the public interest – a balancing act fraught with difficulty in the ‘connected’ global world. This ground-breaking book is the first to deeply analyse how patent law today performs its function of stimulating innovation in the crucial sectors of healthcare, agriculture, artificial intelligence and communications technology. Patent specialists, practitioners and scholars from various jurisdictions thoroughly describe how patent rights can be deployed to incentivize investments in researching and developing socially critical innovations without sacrificing the public’s interest in sharing the benefits that are produced. Among the emerging issues of patent rights investigated are the following: protectability and morality of according private rights over material derived from the human body; licensing on fair, reasonable and non-discriminatory (FRAND) terms; the supplementary protection certificate (SPC) manufacturing waiver; patent eligibility of artificial intelligence-related inventions; excessive enforcement of patents by patent assertion entities; enforcement of second medical use innovations; the so-called farmer’s privilege, the farm-save seed exemption, and breeders’ rights; international trade regulations and their influence on patent systems; human enhancement technologies and the consequences of patenting them; specifics of patent protection for biologic medicines; challenges posed by artificial intelligence for the disclosure requirement in patent law; and standard essential patent licensing, particularly in the context of the 5G standard. Perspectives taken into consideration by the authors include protectability criteria, length and scope of the granted protection, mechanisms for dealing with the friction between generalized application and specialized concerns, and rights enforcement. These aspects are analysed on the domestic, international and global levels. The COVID-19 pandemic has highlighted the urgent need to strike the right balance between innovation and access in healthcare and other technologies, a need rooted in patent law. Because the problems discussed – and solutions offered – in this collection of expert essays are of tremendous practical and cultural significance, the book will be of immeasurable value to practitioners, policymakers and researchers in patent law and other fields of intellectual property law.
This book explores the intersection between artificial intelligence and two intellectual property rights: copyright and patents. The increasing use of artificial intelligence for generating creative and innovative output has an impact on copyright and patent laws around the world. The book aims to map and analyse that impact. The author considers how artificial intelligence systems may aid, or in some cases substitute for, human creators and inventors in the creative process. It is from this angle that the copyright and patent regimes in four jurisdictions (Europe, the United States, Australia and Japan) are investigated in depth. The author describes how these jurisdictions look at works and inventions generated through a process where artificial intelligence is present or prevalent, and examines how copyright and patent regimes should adapt to the reality of artificially intelligent creators and inventors. As the use of artificial intelligence to generate creative and innovative products becomes more common, this book will be a valuable resource to researchers, academics and policy makers alike.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
"Inventions and Patents" is the first of WIPO's Learn from the past, create the future series of publications aimed at young students. This series was launched in recognition of the importance of children and young adults as the creators of our future.
Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers’ perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.