June 2023
AI Syllabus Statement
21/06/23 11:26
Here is the AI Syllabus Statement I am currently using in my courses. This may change, but thirds what works for me at the moment:
Work done for this course must adhere to the University Academic Integrity Policy, which you can review in the Student Handbook or by visiting Academic Integrity at DePaul University.
However, this is a course in which you are allowed to use generative AI (Artificial Intelligence) in your assignments – in some assignments I will require that you use generative AI. Please note that other courses at DePaul may not allow use of generative AI – always ask your professor in writing if you are unsure of what the academic integrity policies are for your course.
In this course we will demonstrate that generative AI will confidently fabricate information. This process is known as “AI hallucinating.” Be aware that AI-generated content may contain untruths. Large Language Models (LLMs) respond and write like humans, but importantly they do not know empirically what is false or true - just a plausible narrative written probabilistically. Crucially, a LLM may not understand the difference between an important error and an unimportant error.
Thus, I would like you to cite your use of generative AI when you submit your assignments. You can do this by creating an appendix and noting the prompts that you used with a particular LLM and the responses your received.
The process of citing generative AI is evolving. Please look at these three sources for guidance:
Work done for this course must adhere to the University Academic Integrity Policy, which you can review in the Student Handbook or by visiting Academic Integrity at DePaul University.
However, this is a course in which you are allowed to use generative AI (Artificial Intelligence) in your assignments – in some assignments I will require that you use generative AI. Please note that other courses at DePaul may not allow use of generative AI – always ask your professor in writing if you are unsure of what the academic integrity policies are for your course.
In this course we will demonstrate that generative AI will confidently fabricate information. This process is known as “AI hallucinating.” Be aware that AI-generated content may contain untruths. Large Language Models (LLMs) respond and write like humans, but importantly they do not know empirically what is false or true - just a plausible narrative written probabilistically. Crucially, a LLM may not understand the difference between an important error and an unimportant error.
Thus, I would like you to cite your use of generative AI when you submit your assignments. You can do this by creating an appendix and noting the prompts that you used with a particular LLM and the responses your received.
The process of citing generative AI is evolving. Please look at these three sources for guidance: