wk9-d02-data-privacy
Chico State
DATA 385 - Fall 2026
October 22, 2026
Today we look at the rules that cover personal data: what counts as personal data, who makes the rules, and what the rules say. You will teach each other the rules in a jigsaw lecture style.
Think first, then pair up. Would you paste a classmate’s graded exam into an AI tool to get feedback on it? Yes, no, or it depends?
Anything that can be linked back to a person:
Take the name off and the data can still point to you.
Removing names does not always remove identity. Sweeney (2000) found that ZIP code, birth date and sex was likely identify 87% of the US population.
By itself a variable may not be able to identify you, but a combination can.
Sweeney, L. (2000). Simple demographics often identify people uniquely (Data Privacy Working Paper 3). Carnegie Mellon University. https://dataprivacylab.org/projects/identifiability/paper1.pdf
When you paste data into an AI tool, it leaves your computer. Chico State’s guidance on AI coding assistants says to treat a prompt like a disclosure. If you are not sure whether data is sensitive, assume it is and do not paste it.
Important
only paste public information, fake data, de-identified data, and generic code.
Chatbot
Coding agent
Important
Chico State’s guidance says students must not use AI tools or scripts to access or automate campus systems such as Canvas or Microsoft 365.
We are going to look at seven topics/sources and figure out what and who they protect, who has to follow them, and what are the requirements/allowances for each.
Break into groups and learn about your topic (10 minutes). FERPA group will have to search more than the listed source.
Each group has 1 slide and at most 5 minutes to present to the class. Add your content here. Stay big picture, do not get into the weeds or try to cover every item discussed in the material.