Copyright Information

Definitions

• Artificial Intelligence (AI) - "Theory and development of computer systems which perform tasks that normally require human intelligence. Such tasks may include speech recognition, learning; visual perception; mathematical computing; reasoning, problem solving, decision-making, and translation of language."
• Machine Learning (ML) - "A type of artificial intelligence that enable computers to independently initiate and execute learning when exposed to new data."
• Large Language Models (LLMs) - "Computational models notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification."
• Text-to-Image Models (TtIMs) - "Machine learning models which takes an input natural language description and produces an image matching that description."
• Text-to-Video Models (TtVMs) - "Machine learning models that takes a natural language description as input and produces a video relevant to the input text."

All KUMC researchers and instructors are encouraged to read and refer to the University's Guidelines for Using Generative Artificial Intelligence (GenAl) policy linked below.

Currently a large number of different and openly available generative artificial intelligence (AI) tools exist that generate various kinds of information (text, audio, images, or video) when prompted by a user. These tools and various models rely on large datasets to statistically analyze patterns in the data, predict connections between those patterns, and generate output based on the predictions. Typically, larger datasets are sourced from copying (or scrapping) copyrighted content on the open web without permission from the contents' copyright holders.

Because the legality of neither this scrapping nor the copyrightable status of AI produced content been determined yet by a court of law, A.R. Dykes Library recommends the following for KUMC scholars intending to publish:

• Any AI tools used to support a project intended for publication should be stated within the project's methods section
• If possible, the record and produced content of from an AI tool should be linked to as a normal citation or included as a supplementary file
• Authors should consult with a publisher and on the publisher's Author Guidelines page(s) about policies related to the usage of AI tools. Some publishers explicitly prohibit its usage.
• AI tools in general should not be used to create the final content in a published work
• The reuse of any copyrighted materials (such as journal articles available via a Dykes Library database or subscription) to train any generative AI model may be prohibited by a material's copyright license or copyright holder. Permission for reuse should be sought if training is not explicitly allowed by a model's license or copyright status.

The use of AI generated content in a course setting by an instructor (ex. designing and assignment or a syllabus) should follow the same process as any content used on the open web. KUMC course instructors should also consult the KU Center for Teaching Excellence AI Resources page for more information on All University guidance. Any AI policies related to student work should be stated as a best practice in a course syllabus.