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Tools Do Not Create: Human Authorship In The Use Of Generative Artificial Intelligence, Michael D. Murray Jan 2024

Tools Do Not Create: Human Authorship In The Use Of Generative Artificial Intelligence, Michael D. Murray

Journal of Law, Technology, & the Internet

Artistic tools, from brushes to complex algorithms, don’t create art; human artists do. The advent of generative AI tools like Midjourney, DALL-E, and Stable Diffusion has blurred this understanding, causing observers to believe these tools are the authors of the artworks they produce, even so far as to imagine that the artworks are “created” by the AI in the copyright sense of the word. Not so.

The U.S. Copyright Office recently issued guidance on the copyrightability of works produced using generative AI tools. The Office has accepted the narrative that AI tools perform the steps of authorship, conceiving of the …


Professional Speech At Scale, Cassandra Burke Robertson, Sharona Hoffman Jan 2022

Professional Speech At Scale, Cassandra Burke Robertson, Sharona Hoffman

Faculty Publications

Regulatory actions affecting professional speech are facing new challenges from all sides. On one side, the Supreme Court has grown increasingly protective of professionals’ free speech rights, and it has subjected regulations affecting that speech to heightened levels of scrutiny that call into question traditional regulatory practices in both law and medicine. On the other side, technological developments, including the growth of massive digital platforms and the introduction of artificial intelligence programs, have created brand new problems of regulatory scale. Professional speech is now able to reach a wide audience faster than ever before, creating risks that misinformation will cause …


Professional Speech At Scale, Cassandra Burke Robertson, Sharona Hoffman Jan 2022

Professional Speech At Scale, Cassandra Burke Robertson, Sharona Hoffman

Faculty Publications

Regulatory actions affecting professional speech are facing new challenges from all sides. On one side, the Supreme Court has grown increasingly protective of professionals’ free speech rights, and it has subjected regulations affecting that speech to heightened levels of scrutiny that call into question traditional regulatory practices in both law and medicine. On the other side, technological developments, including the growth of massive digital platforms and the introduction of artificial intelligence programs, have created brand new problems of regulatory scale. Professional speech is now able to reach a wide audience faster than ever before, creating risks that misinformation will cause …


What Genetic Testing Teaches About Long-Term Predictive Health Analytics Regulation, Sharona Hoffman Jan 2019

What Genetic Testing Teaches About Long-Term Predictive Health Analytics Regulation, Sharona Hoffman

Faculty Publications

The ever-growing phenomenon of predictive health analytics is generating significant excitement, hope for improved health outcomes, and potential for new revenues. Researchers are developing algorithms to predict suicide, heart disease, stroke, diabetes, cognitive decline, future opioid abuse, and other ailments. The researchers include not only medical experts, but also commercial enterprises such as Facebook and LexisNexis, who may profit from the work considerably. This Article focuses on long-term disease predictions (predictions regarding future illnesses), which have received surprisingly little attention in the legal and ethical literature. It compares the robust academic and policy debates and legal interventions that followed the …


The Modern Trolley Problem: Ethical And Economically-Sound Liability Schemes For Autonomous Vehicles, Amar Kumar Moolayil Jan 2018

The Modern Trolley Problem: Ethical And Economically-Sound Liability Schemes For Autonomous Vehicles, Amar Kumar Moolayil

Journal of Law, Technology, & the Internet

The paper synthesizes modern scholarship in the fields of Artificial Intelligence law, Ethics, Corporate Liability, and Economics to develop potential liability schemes that the automotive and insurance industries may impose when autonomous vehicles eventually come to dominate the roadways. By addressing the issues of whom the autonomous vehicle’s AI protects and who bears liability in the event of an accident—two issues that this author believes are critical to the successful adoption of autonomous vehicle technology—the transition from human drivers to AI drivers will be less contentious. Because of the prescient nature of the topic, as well as a discussion of …