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Introduces the concept of 'IP accidents' to establish a new way to look at intellectual property law and its enforcement.
It has often been said that information is power. This is more true in the information age than ever. The book profiles the tools used by criminal law to protect confidential information. It deals with the essence of information, the varieties of confidential information, and the basic models for its protection within the context of the Internet and social networks. Eli Lederman examines the key prohibitions against collecting protected information, and against using, disclosing, and disseminating it without authorization. The investigation cuts across a broad subject matter to discuss and analyze key topics such as trespassing and peeping, the human body as a source of information, computer...
Virtual and augmented reality raise significant questions for law and policy. When should virtual world activities or augmented reality images count as protected First Amendment ‘speech’, and when are they instead a nuisance or trespass? When does copying them infringe intellectual property laws? When should a person (or computer) face legal consequences for allegedly harmful virtual acts? The Research Handbook on the Law of Virtual and Augmented Reality addresses these questions and others, drawing upon free speech doctrine, criminal law, issues of data protection and privacy, legal rights for increasingly intelligent avatars, and issues of jurisdiction within virtual and augmented reality worlds.
Examining a neglected aspect of international copyright law, this book highlights the obligation on nations to maintain broad copyright exceptions.
"This book presents case studies, literature reviews, ethnographies, and frameworks supporting the emerging technologies of RFID implants while also highlighting the current and predicted social implications of human-centric technologies"--Provided by publisher.
An inquiry into what we can know in an age of surveillance and algorithms Knitting together contemporary technologies of datafication to reveal a broader, underlying shift in what counts as knowledge, Technologies of Speculation reframes today’s major moral and political controversies around algorithms and artificial intelligence. How many times we toss and turn in our sleep, our voluminous social media activity and location data, our average resting heart rate and body temperature: new technologies of state and self-surveillance promise to re-enlighten the black boxes of our bodies and minds. But Sun-ha Hong suggests that the burden to know and to digest this information at alarming rates...
The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.
This book constitutes the refereed proceedings of the 6th International Conference on Electronic Government held in September 2007. The 37 revised papers were selected from numerous submissions. They cover research foundations, frameworks and methods, process design and interoperability, electronic services, policies and strategies, assessment and evaluation, participation and democracy, and perspectives on e-government.
Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowl...