By: Marisa Cefola ‘26
Volume X – Issue I – Fall 2024
I. INTRODUCTIONS TO ARTIFICIAL INTELLIGENCE AND COPYRIGHT
There are two primary types of artificial intelligence (AI) prevalent in everyday life. The first is traditional AI, which uses “if-then” programming to guide a system’s decision-making process. For example, a traditional AI system recommends medical diagnoses to doctors after being provided with patients’ reported symptoms (e.g., if a patient presents a certain symptom, then AI may perceive that symptom to be part of a certain disease). In contrast, generative AI (GAI) systems are trained using large data sets and are designed to generate creative content such as artwork or writing. By identifying patterns in the data, these systems can replicate and produce various creative works with a process known as machine learning. [1] This process makes GAI a Large Language Model (LLM), which can comprehend and generate natural, human-like language that allows it to perform a wide array of tasks. [2] The launch of Open AI’s ChatGPT on November 30, 2022, propelled GAI and LLMs into the mainstream, gaining 100 million users within two months on the market. In turn, these technologies have surged in popularity across corporations and entire industries due to their rapid pace of innovation. GAI and its future potential raise ethical and intellectual property concerns in these industries, however. [3] For instance, GAI was part of a central dispute in the 2023 Writers Guild of America strike, as writers demanded more regulations surrounding the systems. Hollywood producers used machine learning to produce scripts, using writers’ work as part of training data sets (in which writers were not compensated for these efforts) as a cheap alternative to human labor. The writers were ultimately successful in prohibiting AI from being considered an original work in the industry. [4] AI being at the forefront of the writer’s strike demonstrates its growing prominence in society, which has brought up new questions regarding AI’s intersection with United States copyright law.