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title: Reading-Discussion

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# Reading-Discussion _Getting Started_

## [Course Syllabus](https://cooperrc.github.io/data-driven-decisions/syllabus.html)

_Q&A_:

> How should I write a question or answer?

- Place answers below the question in normal text and use the `>` to add another question. 

> What are engineering case studies that would interest the class for Modules 03 and 04?

> (Ryan) 


## [Tech Writing and AI](https://cooperrc.github.io/data-driven-decisions/module_00/01_writing-w-llms.html)

_Q&A_:

> Maybe I missed it within the reading but is there a specific score within the similarity score that would make specific work "mine" or that would deem it not plagiarized? Obviously they are not they exact same thing but they seem somewhat related to one another.
> -> I don't think there was necessarily a specific score that would make the work yours. I'm sure in classes the "AI" checks have a certain threshold for similarities, but it's all pretty arbitrary at this point I believe.


## [Tech Writing Audience](https://openoregon.pressbooks.pub/technicalwriting/part/2-audience-analysis/)

_Q&A_
> Is it wrong to utilize AI to try and correct your writing style to reach a certain audience? Or at what point, in your opinion, is it not your own writing when you are having AI edit your work?
> -> I don't think that using AI to correct or change your writing style is nearly as bad as all of the information in the document is your own.
> -> I feel that if you are prompting the AI to alter pre-existing text which you, yourself, have authored, then you're ok! However, there is a fine line between what you can claim as your own, vs just asking the AI to write the solution for you. ~GK
## 
_Q&A_
> Where do you draw the line as to what you can ask the AI to do? Is it when intellectual property comes up, is it when personal data or job information, etc? ~GK