Law Commons^™

Artificial Creativity: A Case Against Copyright For Ai-Created Visual Artwork, Megan Svedman

IP Theory

Artificial intelligence is becoming increasingly complex, and provides examples of compelling, human-like performances. One such artificial intelligence technology is known as Creative Adversarial Network (“CAN”) technology, which relies on inputs of preexisting pieces of art to create pieces of original art that pass as human-made. Whether the coders responsible for CAN-technology should be granted coverage for the resultant art remains an open question in United States jurisprudence. This paper seeks to explore why, given both software’s historical legacy in copyright law and bedrock copyright justifications, extending copyright coverage to the coders responsible for CAN technology would be a grave misstep …

Using Ai To Analyze Patent Claim Indefiniteness, Dean Alderucci, Kevin Ashley

IP Theory

We describe how to use artificial intelligence (AI) techniques to partially automate a type of legal analysis, determining whether a patent claim satisfies the definiteness requirement. Although fully automating such a high-level cognitive task is well beyond state-of-the-art AI, we show that AI can nevertheless assist the decision maker in making this determination. Specifically, the use of custom AI technology can aid the decision maker by (1) mining patent text to rapidly bring relevant information to the decision maker’s attention, and (2) suggesting simple inferences that can be drawn from that information.

We begin by summarizing the law related to …