Please note that when solving the project assignments co-operation between students is allowed and even encouraged. However, both project group members are responsible for the content of their own reports and any plagiarism will result in an immediate failing of the assignment in addition to a written report to KTH’s central disciplinary committee.
This means that all groups should write their own reports. You are not allowed to copy text from other students; you are not allowed to copy text from the internet. If you want to use a quote from a source, it must be clearly indicated that it is a quote.
The use of references is mandatory. When you use a fact from some source you should include a reference to this source.
NOTE! The better the sources, the more accurate the facts, therefore please note that reports that use credible sources (as for instance peer-reviewed scientific papers) will receive higher grades than those that only rely on Wikipedia as a source.
Use references according to this or some similar standard but be consistent. For instance:
”Early assessment of system characteristics in software projects is one of the main concerns of the discipline of software architecture [1] [2] [3].”
List of references:
[1] Heineman, G., W. Councill (Eds), Component-based software engineering: Putting the pieces together, Addison-Wesley, 2001.
If the source is a web-page use the following standard.[name of page],[URL],[access date]
Wikipedia: Requirement, http://en.wikipedia.org/wiki/Requirements, 2015-08-26
Course AI policy
In this course, we actively encourage iterative, mindful, and disclosed usage of generative AI technology to enhance your learning. AI platforms can support you in generating ideas, refine your writing, or explore different approaches. Be mindful of the fact that you are responsible for usage, and therefore must be able to assess output. If you do not know if output is truthful, fact-check with external sources. If it is truthful, but you are unsure if it is helpful, discuss with your team and one of us teachers. AI can help you learn faster, but only if you engage with it in an iterative and critical fashion.
You should see LLMs (e.g. ChatGPT and Claude) as discussion partners who only care about making you “happy” (generating a consistent response which makes sense in relation to what you ask it), rather than more knowledgeable.
With these “good intentions”, AI lies continuously and well (Mollick, 2023). Therefore, iterating on results to increase quality is a must to get anything of deeper value, which means to engage in a dialogue with these systems about what you want to do instead of treating the input box like a search engine. Finally, disclosing that you are using it and how you use it is of the highest importance in this course. Disclosure means that you include a footnote, sentence, endnote, textbox explaining usage in the same document or artifact in/for which you have collaborated with AI to develop content. Do not include disclosure as an appendix or comment outside the document or artifact, since these can get lost or disconnected.
This course policy has been written with AI-support using the above principles, as well as following the EECS School Code of Conduct - Rule 7 on using GenAI. I first explained to ChatGPT what the core principles I wanted to include in the course memo, and then I discussed with it in 5 iterations to get a draft which I then rewrote extensively in Microsoft Word. I then sent the draft to Sebastian Krakowski, an expert in using AI in education, for review. The above text is the result of this process.
The above paragraph is an example of how you can disclose usage. It is also how this policy was made. Unless specifically requested, do not copy-paste prompts and answers, but in 1-4 sentences explain your process of collaboration with your chosen AI platform leading to the content submitted.
Recommended further (pragmatic and useful) reading:
Notes on the use of GenAI in academic coursework and research by Sebastian Krakowski, 2024
How to use AI to do stuff by Ethan Mollick, 2023
Post-apocalyptic education by Ethan Mollick, 2024