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Tools Do Not Create: Human Authorship In The Use Of Generative Artificial Intelligence, Michael D. Murray
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 …
The Modern Trolley Problem: Ethical And Economically-Sound Liability Schemes For Autonomous Vehicles, Amar Kumar Moolayil
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 …