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Abstract Artificial Intelligence has developed exponentially in recent years and has reached the point of creating pseudo-expressive content in areas previously only reserved for humans, ranging from writing, digital paintings, music, and much more. Termed “Generative A.I.,” these models are created at arresting speeds and competence levels. The content created by Generative A.I. has called […]

Abstract A key, universal concept used in the international and domestic regulation of radio frequency communications is “harmful interference.” While “interference” was a recognized concern from the earliest days of wireless telegraphy, it took several decades—until the late 1940s—for regulators to adopt a formal definition of “harmful interference.” This definition, modified slightly in the 1950s

This paper details the current landscape of the technical, social, and governance systems that allow people to participate in the development of open source software (OSS), using GitHub as a case study. This paper also details the laws in the U.S. and the EU around platform liability for user-generated content. Here, “open source software” refers

Abstract While the current scholarly debate on content moderation primarily focuses on the activities of online platforms, it is crucial to recognize the equally important, yet mostly overlooked, infrastructure-level moderation. Internet infrastructure actors, such as the Domain Name System (DNS), play a crucial role in the functioning of the internet and are increasingly receiving demands

It is a pleasure to join the State Center, the University of Colorado’s Silicon Flatirons Center, and Princeton University’s Center for Information Technology Policy for an important conversation on the future of technology policy. Silicon Flatirons’ culture of engaged conversations across disciplines, with academics, practitioners, and policymakers all being heard, and with particular attention to

Abstract With modern advancements in wearable technologies and analytics, player motion data has transformed how the National Football League (“NFL”) approaches player health, scouting, and evaluation. Although the use cases for biometric data have increased, the federal laws that govern player privacy and data ownership have lagged. Professional athletes’ biometric data, especially relating to performance-related