Regulating Industrial Internet Through Ipr Data Protection And Competition Law

The digitization of industrial processes has suddenly taken a great leap forward, with burgeoning applications in manufacturing, transportation and numerous other areas. Many stakeholders, however, are uncertain about the opportunities and risks associated with it and what it really means for businesses and national economies. Clarity of legal rules is now a pressing necessity. This book, the first to deal with legal questions related to Industrial Internet, follows a multidisciplinary approach that is instructed by law concerning intellectual property, data protection, competition, contracts and licensing, focusing on business, technology and policy-driven issues. Experts in various relevant fields of science and industry measure the legal tensions created by Industrial Internet in our global economy and propose solutions that are both theoretically valuable and concretely practical, identifying workable business models and practices based on both technical and legal knowledge. Perspectives include the following: regulating Industrial Internet via intellectual property rights (IPR); data ownership versus control over data; artificial intelligence and IPR infringement; patent owning in Industrial Internet; abuse of dominance in Industrial Internet platforms; data collaboration, pooling and hoarding; legal implications of granular versioning technologies; and misuse of information for anticompetitive purposes. The book represents a record of a major collaborative project, held between 2016 and 2019 in Finland, involving a number of universities, technology firms and law firms. As Industrial Internet technologies are already being used in several businesses, it is of paramount importance for the global economy that legal, business and policy-related challenges are promptly analyzed and discussed. This crucially important book not only reveals the legal and policy-related issues that we soon will have to deal with but also facilitates the creation of legislation and policies that promote Industrial-Internet-related technologies and new business opportunities. It will be warmly welcomed by practitioners, patent and other IPR attorneys, innovation economists and companies operating in the Industrial Internet ecosystem, as well as by competition authorities and other policymakers.

This book analyses the legal approach to personal data taken by different fields of law. An increasing number of business models in the digital economy rely on personal data as a key input. In exchange for sharing their data, online users benefit from personalized and innovative services. But companies’ collection and use of personal data raise questions about privacy and fundamental rights. Moreover, given the substantial commercial and strategic value of personal data, their accumulation, control and use may raise competition concerns and negatively affect consumers. To establish a legal framework that ensures an adequate level of protection of personal data while at the same time providing an open and level playing field for businesses to develop innovative data-based services is a challenging task.With this objective in mind and against the background of the uniform rules set by the EU General Data Protection Regulation, the contributions to this book examine the significance and legal treatment of personal data in competition law, consumer protection law, general civil law and intellectual property law. Instead of providing an isolated analysis of the different areas of law, the book focuses on both synergies and tensions between the different legal fields, exploring potential ways to develop an integrated legal approach to personal data.

Undeniably widespread and powerful as it is, the Internet is not almighty: it can reach as high as the skies (cloud computing), but it cannot escape competition. Yet, safeguarding competition in “the network of networks” is not without challenges: not only are competitive processes in platform-based industries complex, so is competition law analysis. The latter is often challenged by the difficulties in predicting the outcome of competition, in particular in terms of innovation. Do the specific competition law issues in a digital environment presuppose a reconsideration of competition law concepts and their application? Can current competition law tools be adjusted to the rush pace of dynamic industries? To what extent could competition law be supplemented by regulation – is the latter a foe or rather an ally? This book provides an analysis of recent developments in the most relevant competition law cases in a digital environment on both sides of the Atlantic (the EU and the US) and assesses platform competition issues from a legal as well as an economic point of view.

In this timely book, Beata Mäihäniemi analyses and evaluates how the characteristics of information as a good, as well as the characteristics of digital platforms, affect the application of competition law in both theory and practice.

This groundbreaking book explores the new legal and economic challenges triggered by big data, and analyses the interactions among and between intellectual property, competition law, free speech, privacy and other fundamental rights vis-à-vis big data analysis and algorithms.

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.

This book is about enforcing privacy and data protection. It demonstrates different approaches – regulatory, legal and technological – to enforcing privacy. If regulators do not enforce laws or regulations or codes or do not have the resources, political support or wherewithal to enforce them, they effectively eviscerate and make meaningless such laws or regulations or codes, no matter how laudable or well-intentioned. In some cases, however, the mere existence of such laws or regulations, combined with a credible threat to invoke them, is sufficient for regulatory purposes. But the threat has to be credible. As some of the authors in this book make clear – it is a theme that runs throughout this book – “carrots” and “soft law” need to be backed up by “sticks” and “hard law”. The authors of this book view privacy enforcement as an activity that goes beyond regulatory enforcement, however. In some sense, enforcing privacy is a task that befalls to all of us. Privacy advocates and members of the public can play an important role in combatting the continuing intrusions upon privacy by governments, intelligence agencies and big companies. Contributors to this book - including regulators, privacy advocates, academics, SMEs, a Member of the European Parliament, lawyers and a technology researcher – share their views in the one and only book on Enforcing Privacy.

It is important to say that innovation influences the market and its operators, especially about competition conditions. One of the most significant technological advances relates to the possibility of capturing a huge amount of information and the rapid processing thereof (two of the main features that make up the phenomenon known as big data). This not only entails the emergence of specialised operators in these activities, but also makes a “data economy” possible. In this regard, it expands the profitability of business models based on data and gives more strategic value to the collection thereof. The increased possibilities of obtaining revenue from the information lends greater efficiency to the strategy of setting a price of zero in one of the markets on which platform-type (two-sided) business models depend. However, the market in which an operator offers its service at zero cost is not free from possible competition problems in parameters other than price (significantly, quality: whether understood as adequately classified information or the level of privacy offered to users). Therefore, the competition authorities must necessarily abandon a price-centric perspective and enter into an assessment of other parameters already foreseen in the Competition Act. Some of the most recent and significant changes that technology has stimulated in the economy have included the appearance of multiple operators that base their business model on the processing of information and can access it thanks to (i) increased digitisation (conversion of physical assets into information), which has enabled digital interactions (unlike physical interactions, they leave a record – information), and (ii) a large volume of information (Internet and sensors). These changes have not only allowed the proliferation of business models based on information processing but rather, in particular, they can be found in those operators that have achieved the most significant success recently (from Google to Facebook, WhatsApp or LinkedIn, through to Uber and Airbnb). From the industrial revolution and until well into the twentieth century, the most important competitive advantage of economic operators was based on their ability to produce and distribute goods or physical products. However, in recent decades, a particular phenomenon has emerged of the transformation of physical goods (atoms) into information (bits). In other words, the physical format is becoming less relevant while the importance of data continues to grow. A trend which, far from disappearing, it seems will become ever more entrenched, with the eventual widespread use of 3D printers. Thus, the most important competitive advantage appears to have moved from production and distribution to information (data) and its management. Multiple economic operators, aware of the growing importance of data, have invested in aspects related to it, particularly in its collection and processing. This has led to the phenomenon known as big data, characterised by the “4 Vs”: volume, variety, velocity (of processing) and veracity. In any case, without addressing at this time privacy considerations, data collection requires an investment meaning that any operator that has such data enjoys a competitive advantage. These large data sets are becoming a core asset in the economy, fostering new industries, processes and products and creating significant competitive advantages.