Law Commons^™

Clearing Opacity Through Machine Learning, W. Nicholson Price Ii, Arti K. Rai

Articles

Artificial intelligence and machine learning represent powerful tools in many fields, ranging from criminal justice to human biology to climate change. Part of the power of these tools arises from their ability to make predictions and glean useful information about complex real-world systems without the need to understand the workings of those systems.

National Cybersecurity Innovation, Tabrez Y. Ebrahim

Faculty Scholarship

National cybersecurity plays a crucial role in protecting our critical infrastructure, such as telecommunication networks, the electricity grid, and even financial transactions. Most discussions about promoting national cybersecurity focus on governance structures, international relations, and political science. In contrast, this Article proposes a different agenda and one that promotes the use of innovation mechanisms for technological advancement. By promoting inducements for technological developments, such innovation mechanisms encourage the advancement of national cybersecurity solutions. In exploring possible solutions, this Article asks whether the government or markets can provide national cybersecurity innovation. This inquiry is a fragment of a much larger literature …

Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii

Articles

Artificial intelligence (AI) is rapidly moving to change the healthcare system. Driven by the juxtaposition of big data and powerful machine learning techniques—terms I will explain momentarily—innovators have begun to develop tools to improve the process of clinical care, to advance medical research, and to improve efficiency. These tools rely on algorithms, programs created from healthcare data that can make predictions or recommendations. However, the algorithms themselves are often too complex for their reasoning to be understood or even stated explicitly. Such algorithms may be best described as “black-box.” This article briefly describes the concept of AI in medicine, including …

Open Source, Modular Platforms, And The Challenge Of Fragmentation, Christopher S. Yoo

All Faculty Scholarship

Open source and modular platforms represent two powerful conceptual paradigms that have fundamentally transformed the software industry. While generally regarded complementary, the freedom inherent in open source rests in uneasy tension with the strict structural requirements required by modularity theory. In particular, third party providers can produce noncompliant components, and excessive experimentation can fragment the platform in ways that reduce its economic benefits for end users and app providers and force app providers to spend resources customizing their code for each variant. The classic solutions to these problems are to rely on some form of testing to ensure that the …

Is Europe Falling Behind In Data Mining? Copyright's Impact On Data Mining In Academic Research, Christian Handke, Lucie Guibault, Joan-Josep Vallbé

Articles, Book Chapters, & Popular Press

This empirical paper discusses how copyright affects data mining (DM) by academic researchers. Based on bibliometric data, we show that where DM for academic research requires the express consent of rights holders: (1) DM makes up a significantly lower share of total research output; and (2) stronger rule-of-law is associated with less DM research. To our knowledge, this is the first time that an empirical study bears out a significant negative association between copyright protection and innovation.

Brief Of Amici Curiae Law, Business, And Economics Scholars In Alice Corp. V. Cls Bank, No. 13-298, Jason Schultz, Brian Love, James Bessen, Michael J. Meurer

Faculty Scholarship

The Federal Circuit’s expansion of patentable subject matter in the 1990s led to a threefold increase in software patents, many of which contain abstract ideas merely tethered to a general-purpose computer. There is little evidence, however, to suggest this expansion has produced an increase in software innovation. The software industry was highly innovative in the decade immediately prior to this expansion, when the viability of software patentability was unclear and software patents were few. When surveyed, most software developers oppose software patenting, and, in practice, software innovators tend to rely on other tools to capture market share such as first-mover …

Toward A Closer Integration Of Law And Computer Science, Christopher S. Yoo

All Faculty Scholarship

Legal issues increasingly arise in increasingly complex technological contexts. Prominent recent examples include the Stop Online Piracy Act (SOPA) and the Protect Intellectual Property Act (PIPA), network neutrality, the increasing availability of location information, and the NSA’s surveillance program. Other emerging issues include data privacy, online video distribution, patent policy, and spectrum policy. In short, the rapid rate of technological change has increasingly shown that law and engineering can no longer remain compartmentalized into separate spheres. The logical response would be to embed the interaction between law and policy deeper into the fabric of both fields. An essential step would …

Do Patents Facilitate Financing In The Software Industry?, Ronald J. Mann

Faculty Scholarship

This Article is the first part of a wide study of the role of intellectual property in the software industry. Unlike previous papers that focus primarily on software patents – which generally are held by firms that are not software firms – this Article provides a thorough and contextually grounded description of the role that patents play in the software industry itself.

The bulk of the Article considers the pros and cons of patents in the software industry. The Article starts by emphasizing the difficulties that prerevenue startups face in obtaining any value from patents. Litigation to enforce patents is …