Law Commons^™

Elaborating A Human Rights Friendly Copyright Framework For Generative Ai, Christophe Geiger

Joint PIJIP/TLS Research Paper Series

This paper analyses the copyright issues related to so-called “generative AI” systems and reviews the arguments currently advanced to change the copyright regime for AI-generated works from a human rights perspective. It argues that because of the applicable human rights framework for copyright but also the anthropocentric approach of human rights the protection of creators and human creativity must be considered the point of reference when assessing future reforms with regard to copyright and generative AI systems. Consequently, the copyrightability of AI-generated outputs should be considered with utmost care and only when AI is used as a technical tool for …

Briefing Note: 45th Meeting Of The Wipo Standing Committee On Copyright And Related Rights, Sean Flynn

Joint PIJIP/TLS Research Paper Series

This analysis provides a historical and legal overview of the principle agenda items to be discussed at the 45th meeting of the Standing Committee on Copyright and Related Rights.

Unavoidability In U.S. Privacy Law, Laura M. Moy

Georgetown Law Faculty Publications and Other Works

Why is U.S. privacy law structured the way it is, with a series of sectoral laws rather than a cross-sectoral law or laws? Why does U.S. privacy law protect information shared in certain contexts—such as information shared with an attorney, a healthcare provider, or a financial provider—rather than particular types of information? One possibility is that sectoral laws apply to contexts in which people typically share highly “sensitive” information containing intimate secrets or with the potential to harm them financially or psychologically.

But this Article argues that there is something else at play—that in fact, an under-discussed and underappreciated factor …