Volume 25

In the evolving realm of financial innovation, cryptocurrency has promised to stand out as a potential disruptor to traditional financial systems. However, in the midst of this excitement, many have fallen prey to cryptocurrency scams and deceptive schemes, drawing attention from regulatory bodies meant to protect investors like the Securities and Exchange Commission (“SEC”). While …

As remote work has become integral to the American workforce, the inefficient taxation mechanics of the “convenience of the employer” rule have been exposed. Instead of allowing nonresident employees to recognize remote work-related savings, certain states subject them to double taxation with nearly unsatisfiable exceptions. Unsurprisingly, constitutional challenges to the rule have repeatedly failed, so …

Tens of thousands of people use data provided by the U.S. Census Bureau for everything from drawing voting districts, to allocating government funds, to conducting research. But in 2018, the U.S. Census Bureau began using controversial new disclosure avoidance methods. These methods better protected the privacy of the people described by the Census Bureau’s data. …

Artificial Intelligence (“AI”) has surged in popularity over recent years, especially in its accessibility to the public. Increased productivity and the automation of simple tasks has clearly displayed the benefits of AI in everyday life. However, AI has several drawbacks. Since AI algorithms are written by humans, they are influenced by the qualities that humans …

This Article examines broad arguments of infringing copyright’s entitlement of the right of derivatives in the context of Generative AI (“GenAI”) systems. Copyright owners make derivatives arguments against various activities in the GenAI supply chain even in the absence of substantially similar output. They make these arguments in an attempt to go around the limitations …

This Article examines the challenges and prospects of crowd‑sourcing generative artificial intelligence (“GenAI”) systems in patent law as human and machine creativity become seamless. As GenAI technologies like GPT-4 become ubiquitous, AI-generated solutions will be less innovative and will complicate tenets about patentability. An evolution of patent law’s non-obviousness standard provides an elegant solution––borrowing from …

The Article discusses the challenges and implications of applying existing copyright law to a subset of artificial intelligence (“AI”) that creates new data known as generative AI (“Generative AI”). Specifically, the Article examines the mismatch between copyright law and the unique legal complexities that arise from the training and use of Generative AI. The Article …

 Artificial intelligence (“AI”) systems can operate in ways that their designers may not fully understand. This creates a series of important questions regarding trade secrets. This Article argues that AI system designers should be able to hold trade secret rights in AI algorithms even when they are unable to articulate how those algorithms operate. However, …