Recommendations for mandatory information regarding student use of generative artificial intelligence
To assist department leadership groups in determining the mandatory information that should be included on their Canvas course pages
The purpose of these recommendations is to assist department leadership groups at Lund University School of Economics and Management (LUSEM) in determining the mandatory information regarding the use of Generative Artificial Intelligence (GenAI), such as ChatGPT, that should be included on their Canvas course pages. Additionally, these recommendations offer guidance on structuring this information effectively.
We recommend that the department leadership groups determine what their canvas course pages must communicate regarding generative AI. Each course director at the department should then tailor the exact content of this information to fit their specific course.
We recommend that the information be organized in a way that fits into your department’s existing canvas course page structure. Just as with information regarding examination and course literature, the information regarding generative AI use should be clearly visible and easy for students to find.
General generative AI information that applies to all coursework and assignments, such as course-specific recommendations on generative AI use, and perhaps student responsibility for submitted work can be included as a page in the Canvas course page’s general course information module. We recommend using consistent naming of such pages across courses.
Information that is specific to a certain assignment, for example if assignments on a course differ in their expectations of student contributions, then that information should be a part of the description of the Canvas assignment. Canvas assignments should link to the Canvas course page in the general information module to make sure that students do not miss any information presented there
These recommendations will be periodically reviewed and updated by the LUSEM AI committee to reflect changes in the generative AI landscape, such as the introduction of new and more powerful models.
How to organize the information
We recommend that the information be organized in a way that fits into your department’s existing canvas course page structure. Just as with information regarding examination and course literature, the information regarding generative AI use should be clearly visible and easy for students to find.
General generative AI information that applies to all coursework and assignments, such as course-specific recommendations on generative AI use, and perhaps student responsibility for submitted work can be included as a page in the Canvas course page’s general course information module. We recommend using consistent naming of such pages across courses.
Information that is specific to a certain assignment, for example if assignments on a course differ in their expectations of student contributions, then that information should be a part of the description of the Canvas assignment. Canvas assignments should link to the Canvas course page in the general information module to make sure that students do not miss any information presented there (see Appendix A for an example).
Below you will find an example of how the information can be organized.
Appendix A (from pdf)
Education administrators can populate the canvas course pages with placeholder pages and texts that the course directors and teachers can then modify to suit their specific courses (see Appendix B for an example).
An example of a Canvas page with instructions to the teachers can be found on LUSEM’s template for Canvas courses (if you don’t have access to this course contact Karin Bergman):
Course directors should also be recommended to inform students about the guidelines on AI use in their specific courses in the introductory lectures.
Information to include
The purpose of the information is to establish common expectations and eliminate ambiguity regarding generative AI use in a given course.
We recommend that the information below shall be included:
Expectations of student contributions
State the degree to which students are expected to contribute to a submission in relation to contributions from generative AI, and (optionally) other group members.
- Generative AI tools may be used to support you in your work, however you as the author must be the main contributor to the work.
- Generative AI tools must be used to complete your assignments. However, you as the author must be the main contributor to the work.
- Generative AI tools must be used to complete your assignments. The assignments must be entirely completed using generative AI and manual human contribution is not allowed.
Student responsibility for submitted work
Clearly state the extent to which students are personally responsible for the content submitted in conjunction with examinations. Emphasize that students are accountable for ensuring their work adheres to academic integrity standards, regardless of AI assistance.
All group members are responsible for all submitted text, drawings, diagrams, illustrations, code, and the like. This applies whether the content was created by the members themselves, another member, or if it was generated with the help of AI-based tools or other tools. All members are expected to be able to account for, argue for, and explain submitted content upon request and during examination.
Course-specific recommendations for generative AI use
Provide guidelines, from the course director to the students, specific to the course topic in question about how to best approach generative AI use in that context, based on the experience of the course director.
- Use generative AI as a tutor to assist you in learning about the topics covered in the course by, for example, asking it to explain, exemplify, or provide metaphors for concepts. Remember to verify generated information against a primary source (such as course literature). Large
Language Models such as ChatGPT can generate incorrect information, especially about narrow or niche topics. - Use generative AI to translate text from one language to another. Translation accuracy will likely depend on the pair of languages and the AI tool used. Always review the translation manually before using it.
- Use generative AI to process text written by you to get feedback on, for example, use of language, spelling, argumentation, or structure.
- Use generative AI to help with idea generation and brainstorming. For example, provide a summary of your ideas for approaching a task and have generative AI help you develop them.
- Avoid using generative AI for generating or modifying academic text. Academic texts involve paraphrasing of articles and other sources, which generative AI generally struggles with. Large Language Models (LLM), such as ChatGPT, produce text by repeatedly predicting subsequent words or symbols. This includes in-text citations such as (Barney 1991). LLMs are trained on linguistic patterns found in scientific articles (among other sources) but they generally do not have direct access to these sources when generating text. An LLM-generated text containing citations is thus generally not paraphrasing and can mislead the reader. Should this happen in the context of examination, disciplinary measures may be taken.
- Do not provide generative AI services with confidential information such as passwords, research data, or information from case companies not meant for dissemination outside of the classroom. Do not provide generative AI services with copyright protected material without the consent of the author. All text, documents, images, and other content that you prompt generative AI tools with (regardless of privacy settings) will be sent to the service provider’s servers.
Accounting for generative AI use
State if and how students should account for use of generative AI in their submissions.
As an appendix to your master's thesis, you should include a statement on any use of AI-based tools in the completion of your degree project. In this appendix, you should briefly describe (in no more than 400 words) and account for any use of AI tools in preparation, idea generation, research, writing, illustration, coding, or the like related to the thesis. Your AI contribution statement should include the following:
- Tools:
List all AI-based tools you have used. For example: ChatGPT, Gemini, Claude, Whisper. - Degree of use:
Explain to what extent you used the listed tools. Did they help you, for example, to generate ideas, edit content, generate code, perform data analysis, or improve the language in the thesis? Indicate the specific sections/chapters/subchapters that are affected.
If you have not used any AI-based tools, state this in your AI contribution statement. For example, by writing: "No AI-based tools were used in the completion of this master's thesis."
The contribution statement is mandatory and must be included as an appendix to the master's thesis.
Recommendation committee members
- Karin Bergman, Senior Lecturer
- Ingrid van Dijk, Associate Professor
- Daniel Gunnarsson, Library Manager
- Joakim Gullstrand, Dean
- Garo Harwood, Educational Developer
- Sebastian H. Krook, Student Representative
- Jonas Ledendal, Senior lecturer
- Behnaz Pirzamanbein, Associate Senior Lecturer Björn Svensson, Lecturer
- Burak Tunca, Senior Lecturer
- Ulrika Wennersten, Vice Dean for Education
Recommendations (in PDF format)
Recommendations for mandatory information on Canvas course pages regarding student use of generative artificial intelligence, in English (PDF, new window)
Rekommendationer för obligatorisk information på Canvas-kurssidor angående studenters användning av generativ artificiell intelligens, på svenska (PDF, nytt fönster)