Patents and Artificial Intelligence PDF Download

Author: Michael J. Dochniak
Publisher: Cambridge Scholars Publishing
ISBN: 1527525481
Category : Technology & Engineering
Languages : en
Pages : 220

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Book Description
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.

Author: World Intellectual Property Organization
Publisher: WIPO
ISBN: 9280530070
Category : Law
Languages : en
Pages : 156

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Book Description
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.

Author: Jonathan P. Osha
Publisher: Kluwer Law International B.V.
ISBN: 9403522232
Category : Law
Languages : en
Pages : 567

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Book Description
Artificial Intelligence (‘AI’) and the AI sub-field of Machine Learning (‘ML’) are terms that originated in the fields of computer and data science but now form part of the common vernacular. AI has now found application in virtually every field. Some applications of AI have become part of our daily lives: virtual assistants, chatbots, search engines, online language translation and eCommerce all employ AI in various forms. Generative AI such as OpenAI’s products ChatGPT (natural language generation), Jukebox (music generation) and DALL-E2 (image generation) have captured the public attention to an enormous degree and can, indeed, do amazing things. A myriad of other applications of AI are found in disparate fields that, while not as visible on a daily basis, impact on our lives in a wide variety of ways. With this rapidly-increasing impact comes not only exciting new technical capabilities but also new challenges for intellectual property (‘IP’) law. Are current laws fit for purpose or is something new or different needed? This is not a new question; one need only look back to the early days of digital music, computer software and 3-D printing to find similar discussions of whether existing IP law is suited to emerging technologies. For the most part, the answer in the past has been “yes”, with perhaps a tweak here and there. Whether the same will be true of AI is, as yet, an open question. This book focuses specifically on AI and patents. Unsurprisingly, different jurisdictions have taken different approaches to patentability of AI-related inventions. Terminology (what is an “AI-related invention”?) also is inconsistent from one patent office to the next. These factors combine to create a maze of laws and regulations that patent applicants must navigate to secure protection for their innovations. To facilitate comparison of laws and practices, this book introduces a taxonomy that separates AI-related inventions into five conceptual categories. The patent law implications of each category are then addressed in national and regional chapters reflecting the perspectives of 16 major jurisdictions. All chapters follow the same structure, thereby allowing the reader to directly compare approaches taken by different jurisdictions. Thirty-nine subject matter experts from around the world contributed to this book. This is the eighth volume in the AIPPI Law Series which has been established together with the International Association for the Protection of Intellectual Property (AIPPI), a non-affiliated, non-profit organization dedicated to improving and promoting the protection of intellectual property at both national and international levels.

Author: Reto Hilty
Publisher: Oxford University Press, USA
ISBN: 0198870949
Category : Law
Languages : en
Pages : 465

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Book Description
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.

Author: Niklas Bruun
Publisher: Cambridge University Press
ISBN: 1108484603
Category : Law
Languages : en
Pages : 531

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Book Description
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.

Author: Ryan Abbott
Publisher: Cambridge University Press
ISBN: 1108472125
Category : Business & Economics
Languages : en
Pages : 165

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Book Description
Argues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.

Author: Jyh-An Lee
Publisher: Oxford University Press
ISBN: 0192644289
Category : Law
Languages : en
Pages : 496

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Book Description
Artificial Intelligence (AI) has become omnipresent in today's business environment: from chatbots to healthcare services to various ways of creating useful information. While AI has been increasingly used to optimize various creative and innovative processes, the integration of AI into products, services, and other operational procedures raises significant concerns across virtually all areas of intellectual property (IP) law. While AI has drawn extensive attention from IP experts globally, this is the first book providing a broad and comprehensive picture from the perspectives of the very nature of AI technology, its commercial implications, its interaction with different kinds of IP, IP administration, software and data, its social and economic impact on the innovation policy, and ultimately AI's eligibility as a legal entity.

Author: Rafal Sikorski
Publisher: Kluwer Law International B.V.
ISBN: 9403524146
Category : Law
Languages : en
Pages : 474

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Book Description
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.

Author: Shubhabrata Datta
Publisher: Springer Nature
ISBN: 3030758478
Category : Technology & Engineering
Languages : en
Pages : 202

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Book Description
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.

Author: Ana Ramalho
Publisher: Routledge
ISBN: 1000513254
Category : Law
Languages : en
Pages : 167

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Book Description
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.