All of the following may be copyright risks from teachers using generative Al to create course content EXCEPT?

CASE STUDY

Please use the following answer the next question:

Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments.

In particular, GVC has learned that the teachers they employ used open source large language models (“LLM”) to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art.

GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.

All of the following may be copyright risks from teachers using generative Al to create course content EXCEPT?
A . Content created by an LLM may be protectable under U.S. intellectual property law.
B . Generative Al is generally trained using intellectual property owned by third parties.
C . Students must expressly consent to this use of generative Al.
D . Generative Al often creates content without attribution.

View Answer

Answer: C

Explanation:

All of the options listed may pose copyright risks when teachers use generative AI to create course content, except for students must expressly consent to this use of generative AI. While obtaining student consent is essential for ethical and privacy reasons, it does not directly relate to copyright risks associated with the creation and use of AI-generated content.

Reference: The AIGP Body of Knowledge discusses the importance of addressing intellectual property (IP) risks when using AI-generated content. Copyright risks are typically associated with the use of third-party data and the lack of attribution, rather than the consent of users.