Fossil-Fueled Failure: How Nonrenewable Energy Policy Will Cost the United States the AI Race

By: Kayla Landeros This Article examines the structure and regulation of the United States electricity industry in light of accelerating electricity demand driven by Artificial Intelligence (“AI”) and digitalization. It argues that the One Big Beautiful Bill Act and related executive actions have exacerbated existing structural weaknesses within the nation’s energy governance framework by repealing renewable energy incentives, privileging nonrenewable generation, and reinforcing the instability of an executive dominated regulatory model. Through a comparative analysis, the Article contrasts the United States’ fragmented, market-based approach with China’s centralized, statute-based framework, which integrates renewable energy development, grid expansion, and AI infrastructure into a cohesive national strategy. While acknowledging the constitutional and institutional limits of United States energy federalism, the Article contends that meaningful reform remains possible through measures that promote reliability and long-term planning. It concludes that the United States economic and technological leadership in the AI era requires a durable, whole-of-government energy policy that supports all forms of energy generation and unites generation, transmission, and distribution within a coherent framework capable of supporting both innovation and sustainability. Download Full Article (PDF) Cite: 26 Duke L. & Tech. Rev. 127

Juror Contact in the Digital Age: The LinkedIn Problem

By: Drew Thornley This Article examines an evolving dispute in professional responsibility: whether a lawyer makes a prohibited communication when viewing a juror’s LinkedIn account. When one LinkedIn user views another’s profile, the platform automatically notifies the profile owner and may include the viewer’s identity. Ethics rules are currently divided on whether or not this notification would count as a prohibited juror communication. On one hand, the ABA and some state bar associations explicitly allow attorneys to view social-media profiles of jurors even when the lawyer’s identity is revealed. On the other hand, some bar associations and courts believe these automatic notifications violate ethical rules, primarily, the juror-contact rule. Drawing on a survey of ethics opinions and the purpose of juror-contact rules, this article argues against a strict interpretation of what prohibited juror contact means in the digital age. This article argues that, with respect to the juror-contact rule, a communication requires that the attorney have a purpose to convey information. Since there is no purpose to convey information through these automated notifications, there is no communication. During voir dire, lawyers have an obligation to understand the people who will be deciding their client’s case. This interest needs to be

Falling Flat: Why AI Cannot Free Melodies from Copyright Protection with “All the Music” as an Example

By: Hayley Huber As artificial intelligence (AI) continues to surprise us with its humanlike abilities, it raises the question of whether AI-created music can or should be afforded legal protection. Particularly, how should copyright law treat melodies produced by an AI designed to algorithmically generate every possible melody? This article seeks to answer that question, ultimately concluding that AI-produced melodies are not copyrightable and that melodies are not merely facts undeserving of copyright protection, but something valuable to mankind and worth protecting by law. The article explores Damien Riehl’s All the Music project (ATM) and his arguments for why ATM’s outputs should be protected as a case study that AI-produced music is uncopyrightable and that melodies are more than uncopyrightable facts. The article shows that U.S. copyright law does not recognize machines as “authors” for copyright purposes, that reducing melodies to “just math” conflicts with mainstream legal and musicological understandings of melody, and that even if ATM’s outputs were copyrightable, most of its “melodies” would fail for lack of originality. Projects like ATM neither free existing melodies from copyright protection nor meaningfully reduce the risk of infringement litigation for musicians. Download Full Article (PDF) Cite: 26 Duke L. & Tech.