Setup

Before You Attend

Responsible Use of Generative AI is a short course focused on judgement, prompting, validation, and documentation. You do not need coding experience, and you do not need to arrive as an AI expert. It is more helpful to bring one realistic research example and a willingness to critique outputs carefully.

Core Access Checklist

Before the session, make sure you can:

Sign in to your university account without difficulty.
Open a modern web browser on your laptop or tablet.
Access any institutionally approved AI tools you expect to use, such as Microsoft Copilot, if available to you.
Open public or low-risk web documents that you can use for source-checking exercises.
Join any course Teams space or local communication channel used by the teaching team.

Device and Materials

Bring:

a laptop or tablet with a modern web browser
a charger
access to one low-risk document, policy page, or research task you can use as a live example

Optional but useful:

a phone for QR-code polls or quick room activities
headphones if you prefer to work through short tool demonstrations individually

Bring a Safe Example

The course works best when you have something real in mind. Before the session, try to identify:

one research task where AI might save time
one task where AI might create risk or extra checking work
one prompt you have used before, or wish you could use better
one public or non-sensitive source you could use for validation practice

You do not need to bring live project files. A short written description is often enough.

Work Safely During the Course

Use realistic examples without exposing restricted material.

Do not paste confidential, identifiable, unpublished, or contract-restricted material into unapproved AI tools.
Prefer public documents, policy pages, synthetic examples, or summarised notes.
If you are unsure whether a document is safe to use, switch to a lower-risk example and ask the instructor.
Treat classroom prompts as prototypes for your own practice, not as shortcuts around governance rules.

Suggested Working Folder

Keep one folder for all course outputs so you can reuse them later.

responsible-use-of-generative-ai/
  notes/
  prompts/
  checks/
  workflow-sketches/

This makes it easier to keep copies of:

prompt templates
critique notes
validation checklists
AI use notes
workflow or agent sketches

Session-by-Session Preparation

Session theme	Helpful preparation
Introduction to AI for Research	Think of one research task where AI already feels useful and one where it feels risky
Prompting for Research	Bring a low-risk prompt, policy page, reading task, or workflow you want to improve
Applied AI for Research	Think of one research workflow you would like to improve; all literature, interview, data and grant examples needed for the discussion are provided

The applied workshop includes a brief choice of qualitative or quantitative material. You can discuss either route without coding or paid tool access. If you later want to practise with real papers or run generated analysis code, use permitted documents and an approved environment.

If You Do Not Have Tool Access

That is completely fine. You can still participate fully by:

drafting prompts without running them
critiquing sample AI outputs
comparing workflows and validation steps
discussing governance, disclosure, and documentation choices

After the Course

Use the Additional Material to practise with a self-contained fictional source, retain an AI use record and plan one checked workflow. These are optional follow-up activities and do not require paid tool access.