Law Commons^™

The Higher-Cost Problem: How The Case Act Addresses The History Of Inequity In The American Copyright Regime, Michael Newell

University of Miami Law Review

The legislative history of copyright law in the United States and its judicial interpretation resulted in a complex web of statutes and doctrine theoretically meant to further the constitutional goal of “promot[ing] the Progress of Science and the useful Arts.” But because of its complexity, enforcing rights against infringers in federal court became prohibitively expensive for most. The American copyright regime simultaneously allowed the music industry to unfairly profit from the creativity of the under-resourced—particularly, musicians of color.

This Note discusses the disparate impact of the American copyright regime. Then, the Note discusses the Copyright Alternatives in the Small-Claims Enforcement …

Managing Mass Tort Class Actions: Judicial Politics And Rulemaking In Three Acts, Toby S. Goldbach

University of Miami Law Review

Judges take part in a variety of non-adjudicative tasks that shape the structure of litigation. In addition to their managerial functions, judges sit as administrative heads of court. They participate in civil justice reform projects and develop procedures for criminal and civil trials. What norms and principles ought to guide judges in this other work? In their casework we expect judges to be neutral and fair, setting aside politics and rationally following the law. Indeed, this article will demonstrate that there is good reason to insist on these qualities in both judges’ case-related and broader court-related reform activities. To test …

The Promise And The Peril: Artificial Intelligence And Employment Discrimination, Keith E. Sonderling, Bradford J. Kelley, Lance Casimir

University of Miami Law Review

Artificial intelligence (“AI”) is undeniably transforming the workplace, though many implications remain unknown. Employers increasingly rely on algorithms to determine who gets interviewed, hired, promoted, developed, disciplined, or fired. If appropriately designed and applied, AI promises to help workers find their most rewarding jobs, match companies with their most valuable and productive employees, and advance diversity, inclusion, and accessibility in the work- place. Notwithstanding its positive impacts, however, AI poses new perils for employment discrimination, especially when designed or used improperly.

This Article examines the interaction between AI and federal employment antidiscrimination law. This Article explores the legal landscape including …