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Engaging critically with AI tools for your work

Information for students on how to engage critically with Artificial Intelligence (AI) tools if you use these for your academic work.

Using AI tools

AI tools can be useful to support your learning. However, there are some important things to consider in order to use them confidently and responsibly in your work.

Artificial Intelligence (AI) is developing rapidly and is fast becoming a feature of our day-to-day lives in the websites and software we use.

There is currently much debate about the use of Generative AI Large Language Model (LLM) tools such as ChatGPT in Higher Education and how these impact on assessments and academic integrity.

AI tools can be useful to support your learning, for example to help inspire ideas and find information quickly. However, if you are thinking about using them to help with an assignment, there are some important things to think about before you do.

The Skills Centre has produced a video guide setting out nine key points and questions to consider to help you use AI tools confidently and responsibly in your work.

You can also find some useful tips in the following blog:

How to navigate Generative Artificial Intelligence (GenAI) tools with confidence and integrity.

Using AI tools

Watch the video guide

Generative Artificial Intelligence (GenAI) Module

The GenAI module will help you to familiarise yourself with GenAI tools and learn how to use them effectively and responsibly.

The module includes the following interactive learning resources:

  • GenAI Prompts: learn how to produce effective prompts for GenAI and techniques to refine and improve GenAI responses, optimising them for academic needs.

  • GenAI Information Literacy: explore the strengths, limitations, and ethical considerations associated with GenAI and how best to use it without compromising academic integrity.

  • GenAI Critical Thinking and Evaluation: develop analytical skills to critically evaluate GenAI-generated content, distinguishing meaningful insights from inaccurate data.

  • GenAI Ethics: explore the key ethical implications relating to truth, privacy, and environmental impact.

  • GenAI Bias: develop a critical awareness of biases in generative AI systems and human users when interacting with the systems.

  • GenAI Data Privacy and Security: develop insights into the data privacy and security considerations of GenAI systems, including ethical data collection practices, secure data storage protocols, and responsible data sharing procedures.

Further support

If you are unsure about using AI tools for your work, please talk to your lecturer to check their expectations.

Contact us

Please contact the Digital & Academic Skills team if you have any questions or feedback about our resources.