What if Artificial Intelligence Wrote This? Artificial Intelligence and Copyright Law

The increasing sophistication and proliferation of artificial intelligence has given rise to a provoking question in copyright law: Who is the copyright owner of a work created by autonomous artificial intelligence? In other words, when a machine learns, thinks, and acts without human input, and it creates a work, what person should own the copyright, if any? This Note explains why this is a pressing question and why current laws and practices fail to address the issue. It then analyzes the arguments for and against the possible choices: the artificial intelligence, the user, the programmer, the company that owns the artificial intelligence, and entrance into the public domain. Finally, this Note arrives at the conclusion that the work’s immediate entrance into the public domain is the solution

What if Artificial Intelligence Wrote This? Artificial Intelligence and Copyright Law

The increasing sophistication and proliferation of artificial intelligence has given rise to a provoking question in copyright law: Who is the copyright owner of a work created by autonomous artificial intelligence? In other words, when a machine learns, thinks, and acts without human input, and it creates a work, what person should own the copyright, if any? This Note explains why this is a pressing question and why current laws and practices fail to address the issue. It then analyzes the arguments for and against the possible choices: the artificial intelligence, the user, the programmer, the company that owns the artificial intelligence, and entrance into the public domain. Finally, this Note arrives at the conclusion that the work’s immediate entrance into the public domain is the solution

Collaborative International Research in Clinical and Longitudinal Experience Study in NMOSD

Objective To develop a resource of systematically collected, longitudinal clinical data and biospecimens for assisting in the investigation into neuromyelitis optica spectrum disorder (NMOSD) epidemiology, pathogenesis, and treatment. Methods To illustrate its research-enabling purpose, epidemiologic patterns and disease phenotypes were assessed among enrolled subjects, including age at disease onset, annualized relapse rate (ARR), and time between the first and second attacks. Results As of December 2017, the Collaborative International Research in Clinical and Longitudinal Experience Study (CIRCLES) had enrolled more than 1,000 participants, of whom 77.5% of the NMOSD cases and 71.7% of the controls continue in active follow-up. Consanguineous relatives of patients with NMOSD represented 43.6% of the control cohort. Of the 599 active cases with complete data, 84% were female, and 76% were anti-AQP4 seropositive. The majority were white/Caucasian (52.6%), whereas blacks/African Americans accounted for 23.5%, Hispanics/Latinos 12.4%, and Asians accounted for 9.0%. The median age at disease onset was 38.4 years, with a median ARR of 0.5. Seropositive cases were older at disease onset, more likely to be black/African American or Hispanic/Latino, and more likely to be female. Conclusions Collectively, the CIRCLES experience to date demonstrates this study to be a useful and readily accessible resource to facilitate accelerating solutions for patients with NMOSD