YouTube Video: AI in Classrooms A 12-Page Guide for Educators. https://www.youtube.com/watch?v=_xtf8ShkKII
dent's first name, disability category, and specific performance data into a consumer chatbot to draft progress-monitoring lan- guage. Within seconds, the identity of a child with a disability, along with sensitive academic data, has left the classroom and entered a system that may store it, use it to train future models, or expose it to a data breach or legal subpoena. The scenario illustrates a point that is easy to miss in the rush of a busy school day: under the Family Educational Rights and Privacy Act, personally identifiable information is not limited to a student's name. Any combination of details, such as a disability label paired with a grade level, a school name, and specific per- formance data, can be enough to identify a student even with- out a name attached. Many consumer AI tools' terms of service explicitly allow user input to be used for model training, and few include the kind of data-processing agreement that a school dis- trict's use of student information requires. The safeguard is straightforward: treat every AI prompt like a public billboard. If a detail would not be comfortable posted in a school hallway, it should not be pasted into an AI tool. In prac- tice, that means stripping out names, school names, and family circumstances, and replacing disability labels with functional descriptions. A prompt asking for help with a behavior interven-
tion plan for a named student with a specific diagnosis and a difficult family situation becomes a request for a plan addressing physical aggression during academic tasks, with no identifying details attached. Teachers who make this shift consistently find the output just as useful without exposing a real child's identity. THE PRIVACY MESSAGE BELONGS TO FAMILIES TOO The de-identification habit is usually framed as guidance for teachers, but the same risk exists on the other side of the IEP table. Parents and guardians increasingly turn to consumer AI tools for their own help, drafting a letter to a school team, trying to understand evaluation language, or researching a diagno- sis, and in doing so, many paste in the same kind of identifying details schools are working to keep out of AI prompts: a child's name, school, disability label, and specific performance or be- havior data. That information is just as exposed when a parent enters it as when a teacher does. Districts already send home guidance on topics like internet safety and social media use. Plain-language guidance on AI is becoming an equally basic literacy need, and it fits naturally into channels schools already use: a line in the family handbook, a handout at an IEP meeting, or a brief mention during a family
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