New Media Rights\u27 Internet & Media Law Clinic: California Western School of Law

This article looks at the critical need for legal services addressing new media rights and the types of cases that benefit from the New Media Rights’ Internet & Media Law Clinic at California Western School of Law (New Media Rights) in San Diego. This article will discuss New Media Rights in four parts: 1. Why do we have IP, arts, and technology clinics like New Media Rights? 2. What is New Media Rights, and how do we benefit the students and the community? 3. What is the structure and pedagogy of the clinic? 4. What are our hopes looking forward

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

New Media Rights\u27 Internet & Media Law Clinic: California Western School of Law

This article looks at the critical need for legal services addressing new media rights and the types of cases that benefit from the New Media Rights’ Internet & Media Law Clinic at California Western School of Law (New Media Rights) in San Diego. This article will discuss New Media Rights in four parts: 1. Why do we have IP, arts, and technology clinics like New Media Rights? 2. What is New Media Rights, and how do we benefit the students and the community? 3. What is the structure and pedagogy of the clinic? 4. What are our hopes looking forward

A Framework for Applying Copyright Law to the Training of Textual Generative Artificial Intelligence

The rise in the popularity of consumer-facing generative artificial intelligence (GenAI) has created considerable confusion and consternation among some copyright owners. The ability to automate the generation of original works based on user input is considered by some copyright holders to have been made possible by large-scale direct infringement by OpenAI, Microsoft, and other major GenAI developers. This article explores the application of copyright law to the training of OpenAI’s ChatGPT, specifically focusing on the legal issues surrounding the unauthorized use of copyrighted textual works in the GenAI training process. The large language models (LLMs) that drive ChatGPT and similar GenAI can summarize written works, generate movie scripts, write poetry, and compose stories nearly instantaneously. LLMs can only function in this way due to the use of vast, diverse training datasets comprised of billions of websites and expansive repositories of books. These datasets are analyzed to study the functionality and syntax of the language, allowing the LLMs to generate new works. This article discusses the recent lawsuits launched by high-profile authors and copyright owners against OpenAI and Microsoft, claiming direct, vicarious, and derivative infringement. Authors such as George RR Martin, Sarah Silverman, Christopher Golden, and professional organizations such as the Authors Guild contended their works were infringed upon to turn OpenAI into an $80 billion company. In considering the merits of these lawsuits, we discuss the curation and content of training datasets used in the known iterations of ChatGPT and characterize the protectability of the different works the datasets included. We then explore whether the transitory nature of OpenAI’s training process uses acceptable, non-infringing copies and how that would affect the outcome of an action for direct infringement. The article then looks at the applicability of current fair use precedent to textual GenAI and the various types of works used in training datasets. To do so, we apply settled caselaw and leading decisions to discuss OpenAI’s use of copyrighted works regarding purpose and character, nature of the original work, the amount and substantiality of the works used, and the impact on the market value of the works by ChatGPT. We pay special attention to other innovative technologies that rely on a fair use defense to draw analogies and comparisons to GenAI. Finally, this article considers the policy and legislation of other countries and their approach to ChatGPT and copyright. In doing so, policy considerations are taken into account to argue the necessity of a finding of fair use to maintain international competitiveness and to prevent an erosion of fair use in other sectors outside of GenAI. The article concludes that there is substantial support for arguments that GenAI training involves only transitory, non-actionable copying and that it is also permissible under fair use