A school-district adjacent clinic coordinator flags protected health information as out-of-bounds for casual Copilot chats. What risk category is the coordinator identifying?

Flagging protected health information as out-of-bounds for casual Copilot chats correctly identifies a regulated or sensitive municipal data risk. School-district adjacent clinic coordinators handle PHI that is governed by privacy rules and municipal policy; casually pasting visit notes, diagnoses, or identifiers into exploratory generative prompts expands who and what systems may see that content. The correct category works because responsible AI for business users includes recognizing when data sensitivity—not just prompt cleverness—determines whether Copilot is an appropriate tool for the moment.

Treating ordinary public park hours as confidential PHI fails because publicly posted hours are not regulated health data; conflating open civic information with PHI teaches the wrong classification habit. Framing the issue as prompt injection that only occurs when trail maps are attached fails by concept: trail-map attachments are unrelated to PHI handling, and prompt injection is a different risk class than sensitive-data exposure. Claiming fabrication risk disappears if medical notes are included in full fails because adding more clinical detail does not eliminate fabrication—and it increases sensitive-data exposure rather than curing hallucination.

Exam caveat: “out-of-bounds for casual chats” does not forbid every approved, minimized, or enterprise-controlled workflow; it forbids treating PHI like ordinary scratchpad text. Operational check: define a clinic prompt checklist that bans full medical notes and identifiers from exploratory Copilot Chat, routes needed summarization through approved channels with minimization, and require a coordinator spot-check that no PHI appears in the conversation history used for training or handoff.