AI for StudentsLesson 72 of 73

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AI for Students

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Module 8 · Assessment, and the years after it

Placements, and rules that are not your university’s

8 min read

Three rulebooks at once

On a placement (clinical, teaching, legal, engineering, or an ordinary internship) you are simultaneously governed by your university’s academic policy, the host organisation’s own rules, and often a professional body’s code of conduct. They do not say the same things, and the strictest one applies.

Students get into difficulty here not through dishonesty but through applying a university rule in a setting where a different and stricter one governs. It is worth ten minutes on day one to find out which rules you are actually under.

The host organisation’s rules come first

Ask, in your first week, and ask a person rather than assuming:

  • Is there a policy on using AI tools with organisation data?
  • Are there approved tools, and is anything prohibited?
  • What may leave the organisation’s systems, and what may not?
  • Who do I ask when I am not sure?

Many organisations now have a written policy; many do not and are working it out. Either way, the answer you get in writing is your protection. Where there is no policy, the safe default is that nothing belonging to the organisation goes into any external tool.

Confidentiality is not an AI question

The rule that matters most on placement predates all of this. Patient information, client information, pupil information, commercial information: it does not leave the systems it is meant to live in. Pasting it into a chat window is a disclosure to a third party, and it is treated as one.

This is the Module 2 rule with real consequences attached. A nursing or medical student who puts a case into a general assistant has made a data breach, regardless of intent, regardless of whether names were removed, and regardless of what the university’s AI policy says. Teaching placements are the same for pupil information; legal placements the same for client matters. Professional bodies discipline for this, and a fitness-to-practise process is a much heavier thing than an academic misconduct process.

The workable version: discuss the general question (the mechanism, the guideline, the legal principle) without the particulars. That is a legitimate use and it is what a textbook would give you anyway.

Reflective writing, which is a special case

Many placements require reflective accounts, and these are the least suitable thing in the world to generate. A reflective piece is assessed on whether you noticed something and thought about it. A generated reflection is a description of what reflection sounds like, and assessors in these professions read hundreds of them a year and can tell.

It is also self-defeating: reflection is one of the few written exercises whose entire benefit is in the doing. Write it badly and truthfully rather than well and generically. I did not know what to say to the patient and I said something clumsy is worth more than any amount of polished insight.

The safe assistance: write the reflection yourself, then ask for structural feedback, or ask questions that prompt you to go deeper. Anonymise anything you paste, and check whether your placement permits pasting it at all.

Professional codes

If you are heading into a regulated profession (medicine, nursing, teaching, law, engineering, accountancy, architecture, social work) the regulator has a code, it applies to students in many cases, and it usually says something about honesty, confidentiality and competence. Read yours once. It is short, it is free, and it is the standard you will be held to for the rest of your career.

The recurring theme across all of them: you are accountable for work issued in your name, and you cannot delegate that accountability to a tool. That principle resolves most questions before they arise.

Using it well on placement

There is a great deal that is entirely fine and useful:

  • Understanding a guideline, a procedure, or a piece of legislation in general terms.
  • Preparing for a difficult conversation by rehearsing it.
  • Explaining a concept you met on the ward, in the classroom, or in the office and did not follow.
  • Drafting your own learning objectives, or structuring your portfolio.
  • Practising the questions your supervisor might ask.

All of these are about you and your learning, and none of them involves the organisation’s information leaving its systems.

When you are unsure in the moment

Do not resolve it yourself under time pressure. Ask your practice supervisor or your placement lead: that is what they are for, and asking is treated as good practice rather than as ignorance. The students who get into trouble are almost never the ones who asked.

Every lesson here is open. Your progress is recorded once you pass the AI at Work exam.

Check your understanding

A student on a clinical placement checks their university’s AI policy, confirms that AI use with disclosure is permitted, and pastes an anonymised case into an assistant. What have they got wrong?

Pick the one you would defend. Your answer stays private.

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How to cite: Addaly (2026) ‘Placements, and rules that are not your university’s’, in AI for Students. Edited by M. Mun. Addaly. Available at: https://addaly.com/learn/ai-for-students/placements-and-professional-practice (Accessed: 13 October 2026).