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Artificial Intelligence (AI) for Learning and Teaching: Overview of AI for students

Overview of AI for students

Developments in Artificial Intelligence (AI) are happening at a fast rate and will impact us and the society we live in both locally and globally. 

This Library guide will help students and staff explore a range of AI technologies and consider how these technologies might affect their teaching and learning practice, as well as their impact on a wide range of professions. As AI is developing progressively every day, you will need to keep up-to-date by monitoring news and academic blogs.

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Citation and referencing problems with Generative AI Tools

One of the current features of ChatGPT and other AI tools is a failure to cite or reference, and when citations and references are provided, these are not always accurate or presented correctly. This can lead to inaccuracies in the citations and references which might include:

  • Incorrectly attributing authors to a work;

  • Lack of retrieval information (DOIs, URLs, etc);

  • Places of publication and dates may be incorrect or missing;

  • Confusing resource types, for example, mixing up book chapters with journal articles;

  • Mismatched or incorrect journal and issue numbers for academic articles or grey literature;

  • Incorrect page numbering; 

  • Incorrect edition statements;

  • Generating a reference in the wrong referencing style.

Recent research highlighting this problem can be found in Walters and Wilder who provide an in-depth analysis of types of errors and fabricated citations generated by ChatGPT 3 and 4 in response to research queries across various disciplines.

Walters, W.H., Wilder, E.I. (2023) 'Fabrication and errors in the bibliographic citations generated by ChatGPT.' Sci Rep 13, 14045. Available at: 

Privacy and data security

There are ongoing concerns around privacy issues when using AI tools. Be mindful that any personal information you provide on those tools can be used in training the AI tool. Please refer to the terms and conditions and see if you can opt out of providing personal information, if this is what you prefer.


About ChatGPT from OpenAI developer 


The Royal Instutiton lecture on Generative AI.


What are AI generational models? 

Find out how generative AI tools are built, how they work, and the advantages, disadvantages and pitfalls of AI from this IBM video:


Find out how Large Language Models hallucinate from this IBM video:

The Library's View on AI

As information professionals, we are keen to embrace new possibilities that emerging technologies offer. AI in particular presents opportunities for enhancing the search, analysis and discovery of connections within academic literature. In this guide we will emphasise the potential value of AI tools.

We are aware that AI technologies also raise legitimate concerns around misinformation, reliability, bias and academic misconduct. This also includes ethical considerations surrounding commercialisation, privacy and data literacy from the user point of view. We align with CILIP's perspective that individuals using AI tools will require a level of "algorithmic literacy" to employ them effectively and responsibly.

Currency of Information: We are doing our best to ensure this guide is accurate and up-to-date. We will be updating information on this guide on a regular basis. If you find discrepancies or outdated information, please email:

Watch our session AI:Good Practice - requires to log in with London Met user details.