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.
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 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.
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.
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.
The availability of very large data sets and the increase in computing power to process them has led to a renewed intensity in corporate and governmental use of Artificial Intelligence (AI) technologies. This groundbreaking book, the first devoted entirely to the growing presence of AI in the legal profession, responds to the necessity of building up a discipline that due to its novelty requires the pooling of knowledge and experiences of well-respected experts in the AI field, taking into account the impact of AI on the law and legal practice. Essays by internationally known expert authors introduce the essentials of AI in a straightforward and intelligible style, offering jurists as many practical examples and business cases as possible so that they are able to understand the real application of this technology and its impact on their jobs and lives. Elements of the analysis include the following: crucial terms: natural language processing, machine learning and deep learning; regulations in force in major jurisdictions; ethical and social issues; labour and employment issues, including the impact that robots have on employment; prediction of outcome in the legal field (judicial proceedings, patent granting, etc.); massive analysis of documents and identification of patterns from which to derive conclusions; AI and taxation; issues of competition and intellectual property; liability and responsibility of intelligent systems; AI and cybersecurity; AI and data protection; impact on state tax revenues; use of autonomous killer robots in the military; challenges related to privacy; the need to embrace transparency and sustainability; pressure brought by clients on prices; minority languages and AI; danger that the existing gap between large and small businesses will further increase; how to avoid algorithmic biases when AI decides; AI application to due diligence; AI and non-disclosure agreements; and the role of chatbots. Interviews with pioneers in the field are included, so readers get insights into the issues that people are dealing with in day-to-day actualities. Whether conceiving AI as a transformative technology of the labour market and training or an economic and business sector in need of legal advice, this introduction to AI will help practitioners in tax law, labour law, competition law and intellectual property law understand what AI is, what it serves, what is the state of the art and the potential of this technology, how they can benefit from its advantages and what are the risks it presents. As the global economy continues to suffer the repercussions of a framework that was previously fundamentally self-regulatory, policymakers will recognize the urgent need to formulate rules to properly manage the future of AI.
The emergence of Artificial Intelligence (AI) has profound implications for intellectual property (IP) frameworks. While much of the discussion so far has focused on the legal implications, we focus on the economic dimension. We dissect AI's role as both a facilitator and disruptor of innovation and creativity. Recalling economic principles and reviewing relevant literature, we explore the evolving landscape of AI innovation incentives and the challenges it poses to existing IP frameworks. From patentability dilemmas to copyright conundrums, we find that there is a delicate balance between fostering innovation and safeguarding societal interests amidst rapid technological progress. We also point to areas where future economic research could offer valuable insights to policymakers.
Artificial intelligence is the most revolutionary and disruptive technology of the mid twenty-first century, not only because of its capabilities to learn from experience and perform autonomously from humans. This is due to its capabilities to learn as a matter of fact and perform independently from living person. Although the notion of Artificial Intelligence (hereinafter referred as AI) is not new and has been present for over sixty years but its pervasive effect is a relatively recent occurrence. From game-playing cars to self-driving cars, right from automated suggestions on internet platforms to computer-aided diagnostics and from human face recognition to artificial face generation, everywhere we see the revolutionary potential of AI in our daily lives. It is already being used in various fields including the Intellectual Property (hereinafter referred as IP), legal sector; air traffic control systems, healthcare and Internet of Things (hereinafter referred as IoT) including all aspects of other intelligent systems, these are just a few examples. In fact, for the maintenance and operation of our physical and digital infrastructure including the area of IP, we are becoming more and more reliant on AI-based technologies. Owing to autonomous features and ability to learn without assistance of human, the existing sectors of IP are facing a range of difficulties, particularly in the realm of copyright. The AI and IP has become most of the burning issues of 21st century in context of above aspects. This is a debatable issue because of its breadth and usefulness in variety of fields is being introduced technically in various fields aiming to perform any work in a better way by replacing human being or reducing human effort.
The University of Surrey has filed multiple patents in the United Kingdom on behalf of an Artificial Intelligence (AI) Robot, Device for the Autonomous Bootstrapping of Unified Sentience (DABUS). The two ideas were artificially created by DABUS without any human intervention, but for centuries, intellectual property ownership has been created on behalf of humans. With improving computing power and abilities of Artificial Intelligence, the need to copyright for non-human beings is being called to question. This case study analyses the question: should the University of Surrey, or any other entity, be allowed to apply for intellectual property protection on behalf of an AI robot or algorithm?
