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Full-Text Articles in Law
The Library Of Babel For Prior Art: Using Artificial Intelligence To Mass Produce Prior Art In Patent Law, Lucas R. Yordy
The Library Of Babel For Prior Art: Using Artificial Intelligence To Mass Produce Prior Art In Patent Law, Lucas R. Yordy
Vanderbilt Law Review
Artificial intelligence is playing an increasingly important role in the invention and innovation processes of our society. To date, though, much of the academic discussion on the interaction of artificial intelligence and the patent system focuses on the patentability of inventions produced by artificial intelligence. Little attention has been paid to organizations that are seeking to use artificial intelligence to defeat the patentability of otherwise patent-worthy inventions by mass producing prior art. This Note seeks to highlight the consequences of allowing mass-produced, AI-generated prior art to render valuable inventions unpatentable. Specifically, this Note concludes that AI-generated prior art decreases the …
New Innovation Models In Medical Ai, Nicholson Price Ii, Rachel Sachs, Rebecca S. Eisenberg
New Innovation Models In Medical Ai, Nicholson Price Ii, Rachel Sachs, Rebecca S. Eisenberg
Law & Economics Working Papers
In recent years, scientists and researchers have devoted considerable resources to developing medical artificial intelligence (AI) technologies. Many of these technologies—particularly those which resemble traditional medical devices in their functions—have received substantial attention in the legal and policy literature. But other types of novel AI technologies, such as those that relate to quality improvement and optimizing use of scarce facilities, have been largely absent from the discussion thus far. These AI innovations have the potential to shed light on important aspects of health innovation policy. First, these AI innovations interact less with the legal regimes that scholars traditionally conceive of …
Sounds Of Science: Copyright Infringement In Ai Music Generator Outputs, Eric Sunray
Sounds Of Science: Copyright Infringement In Ai Music Generator Outputs, Eric Sunray
Catholic University Journal of Law and Technology
The music business is no stranger to disruptive technology. The industry’s apparent comeback from the devastating downturn caused by illegal file sharing seems to have arrived just in time for what may be an even more disruptive technological phenomenon: artificial intelligence (“AI”). Much has been said about the implications of AI-generated music, ranging from issues of ownership, to rights of publicity. However, there has been surprisingly little discussion of infringement in the AI systems’ outputs. By examining the functionality of AI music generators through the lens of de minimis use case law, this paper will explain how the outputs of …
Legal Opacity: Artificial Intelligence’S Sticky Wicket, Charlotte A. Tschider
Legal Opacity: Artificial Intelligence’S Sticky Wicket, Charlotte A. Tschider
Faculty Publications & Other Works
Proponents of artificial intelligence (“AI”) transparency have carefully illustrated the many ways in which transparency may be beneficial to prevent safety and unfairness issues, to promote innovation, and to effectively provide recovery or support due process in lawsuits. However, impediments to transparency goals, described as opacity, or the “black-box” nature of AI, present significant issues for promoting these goals.
An undertheorized perspective on opacity is legal opacity, where competitive, and often discretionary legal choices, coupled with regulatory barriers create opacity. Although legal opacity does not specifically affect AI only, the combination of technical opacity in AI systems with legal opacity …
More Than Magic Wands: Analyzing Whether Enablement Analysis Of Patent Claims Created Using Artificial Intelligence Should Be Subjected To The In Re Wands Multi-Factor Analysis, James Lenahan
Marquette Intellectual Property & Innovation Law Review
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Contracting For Algorithmic Accountability, Cary Coglianese, Erik Lampmann
Contracting For Algorithmic Accountability, Cary Coglianese, Erik Lampmann
All Faculty Scholarship
As local, state, and federal governments increase their reliance on artificial intelligence (AI) decision-making tools designed and operated by private contractors, so too do public concerns increase over the accountability and transparency of such AI tools. But current calls to respond to these concerns by banning governments from using AI will only deny society the benefits that prudent use of such technology can provide. In this Article, we argue that government agencies should pursue a more nuanced and effective approach to governing the governmental use of AI by structuring their procurement contracts for AI tools and services in ways that …