Teaching & Learning
- Use of generative AI to complete course assignments is at instructor discretion
- Students must ask their instructor whether AI tools are permitted in a given course, and if AI is used, students remain responsible for the quality, originality, accuracy, and proper citation of the submitted work
The use of generative AI tools, such as ChatGPT, DALL-E, Grammarly, or similar technologies, to complete course assignments is subject to the discretion of the instructor. Students must contact their instructor to determine if AI tools are permitted in their course.
Generative AI tools should be used to enhance the learning experience and support the completion of assignments. Students are responsible for the quality and integrity of the work they submit. This includes:
• Appropriately citing all sources, including those generated or assisted by AI tools.
• Ensuring the originality of their work and avoiding any form of plagiarism.
• Verifying the accuracy of the information provided in their submissions.
- The university states that generative AI should be used to enhance learning, but it does not set a distinct university-wide rule specifically for personal study, tutoring, or other non-graded learning uses
Generative AI tools should be used to enhance the learning experience and support the completion of assignments.
Research
- The digital usage policy classifies unpublished research data as Moderate Risk information
- That means such data must be stored, transported, and processed only with university-approved resources for that classification or higher, with encryption and multi-factor authentication required
For purposes of this Policy, Moderate Risk examples include, but are not limited to:
» Unpublished research data
Confidential Information classified as Moderate Risk must be stored, transported, and processed using only University Resources approved for that classification or higher, and the information must be encrypted when stored (at rest) and transported (in transit) between other systems approved for that purpose. Multi-factor authentication is required to access Moderate Risk information.
- However, it does not define specific rules for grant proposals, IRB applications, or research ethics declarations
- The student manual says the university is committed to using and promoting AI ethically, transparently, and responsibly, and notes that the school is exploring academic and research programs in AI
We understand the concerns about the impact of AI, and we are committed to utilizing and promoting this technology in an ethical, transparent, and responsible manner.
Our first initiative as a school is in building a cross-departmental and cross-sectional committee to explore AI and its academic impacts and potential. As we explore new applications of AI and develop academic and research programs in this field of study, we will grow progressively and reflexively within this terrain.
Academic Integrity
- The policy specifically requires attribution of AI-generated or AI-assisted content
- If a student uses AI for any part of an assignment, proper citation is required under appropriate academic citation guidelines
• Appropriately citing all sources, including those generated or assisted by AI tools.
Students must use AI tools ethically and responsibly. If an AI tool is used for any part of an assignment, it must be properly cited following appropriate academic citation guidelines.
- Undisclosed or improperly attributed AI-generated content is treated as a violation of the university's Academic Dishonesty policy
- The provided sources do not define any AI detection tools or separate AI-specific enforcement process beyond that misconduct statement
Failure to correctly attribute AI-generated content will be considered a violation of the institution’s Academic Dishonesty policy.
Institutional & Administrative
- It also states that courses may set their own AI guidelines and parameters for coursework and curriculum expectations
- The university states that it is developing AI systems to support faculty in student learning and that faculty retain individual approaches to subject matter and instruction
Faculty: We are eagerly committed to developing AI technology systems that will enable our faculty to provide dynamic support for our students’ learning, leveraging this technology throughout our University learning platforms. We champion our faculty members’ individual approach to their subject matter and instructional methodologies. Our courses may extend unique guidelines and parameters for the use of AI as it relates to coursework and curriculum expectations.
- The digital usage policy requires users to protect confidential information according to the university's risk-classification framework
- High- and Moderate-Risk information may be stored, transported, and processed only on university-approved resources, with high-risk information never allowed on non-university resources; examples of protected data include student records, grading feedback, accommodations, and unpublished research data
You may receive access to certain confidential and proprietary University information, including without limitation, personally identifiable information (“PII”), protected health information (“PHI”), student records, employee information, financial information, trade secrets, and business plans and methods (collectively, “Confidential Information”). Unauthorized disclosure of Confidential Information is prohibited under University policy.
For purposes of this Policy, Moderate Risk examples include, but are not limited to:
» Student records: grades, GPA, attendance, email addresses,
telephone, address, admission applications, enrollment status,
transcripts, or directory information
» Grading feedback to students
» Student class accommodations
» Unpublished research data
Confidential Information classified as High Risk must be stored, transported, and processed using only University Resources approved for that classification, and the information must be encrypted when stored (at rest) and transported (in transit) between other systems approved for that purpose.
Confidential Information classified as Moderate Risk must be stored, transported, and processed using only University Resources approved for that classification or higher, and the information must be encrypted when stored (at rest) and transported (in transit) between other systems approved for that purpose. Multi-factor authentication is required to access Moderate Risk information.
High Risk Confidential Information may never be transferred, stored, processed, or accessed on non-University Resources.
- Full Sail states an institutional mission to embrace AI as part of its academic objectives and to use it ethically, transparently, and responsibly
- It also says its first initiative is a cross-departmental and cross-sectional committee to explore AI and its academic impacts and potential, while developing academic and research programs in this area
Full Sail University recognizes the transformative potential of artificial intelligence (AI) technology and enthusiastically embraces it as a conduit to advance our academic objective and prepare our students for a dynamic technology landscape. We acknowledge our responsibility to embrace AI technologies ethically and responsibly within the context of entertainment, media, and technology education, while advancing education methods that assist our students.
We understand the concerns about the impact of AI, and we are committed to utilizing and promoting this technology in an ethical, transparent, and responsible manner.
Our first initiative as a school is in building a cross-departmental and cross-sectional committee to explore AI and its academic impacts and potential. As we explore new applications of AI and develop academic and research programs in this field of study, we will grow progressively and reflexively within this terrain.
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Full Sail University's AI Policies
Full Sail University has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
If a student uses AI for any part of an assignment, proper citation is required under appropriate academic citation guidelines. The policy specifically requires attribution of AI-generated or AI-assisted content.
Undisclosed or improperly attributed AI-generated content is treated as a violation of the university's Academic Dishonesty policy. The provided sources do not define any AI detection tools or separate AI-specific enforcement process beyond that misconduct statement.
The digital usage policy requires users to protect confidential information according to the university's risk-classification framework. High- and Moderate-Risk information may be stored, transported, and processed only on university-approved resources, with high-risk information never allowed on non-university resources; examples of protected data include student records, grading feedback, accommodations, and unpublished research data.