A type of artificial intelligence that makes decisions on behalf of users. It can perform tasks and make informed decisions without human intervention.
Procedures or formulas used by computers to solve problems or perform tasks.
Systematic errors in GenAI models that lead to unfair or discriminatory outcomes, often reflecting biases present in the data used to train them.
Systems designed to perform tasks that typically require human intelligence such as problem-solving, learning, or decision-making.
Skewed outcomes in GenAI systems caused by imbalanced or flawed training data.
Software that simulates conversation with human users, often powered by an GenAI model to respond to queries, provide information, or assist with tasks (e.g., ChatGPT, Copilot).
The amount of processing capability a computer has, which determines how quickly it can run complex algorithms.
The process of analysing large sets of data to discover patterns.
A type of machine learning that uses large, complex networks to analyse vast amounts of data and solve more advanced problems.
Study of moral issues related to the development and use of GenAI technologies.
AI systems that create new content like text, images, music or videos, based on patterns learned from existing data.
A type of Large Language Model (LLM) that uses deep learning (i.e., trained on a significant amount of data) to produce human-like responses.
False or misleading information, generated by GenAI, that sounds plausible but is incorrect.
A fictional citation or source used for illustrative purposes, always check references generated by GenAI.
A GenAI model trained on massive amounts of text data to generate human-like responses, such as ChatGPT.
A type of AI where systems learn from data programmed rather than explicit programming.
AI field that enables computers to understand and generate human language.
The data or information an AI generates, and processing the prompt and applying its algorithms.
Computing system inspired by the human brain processes data and identifies patterns and that can learn from examples.
Using historical data to predict future outcomes or trends.
An input or instruction given to the GenAI to generate an output. Effective prompting helps achieve accurate and relevant outputs in generative AI systems.
The process of crafting and refining prompts to get the GenAI to generate a desired output.
Technique that enhances GenAI models by combining information retrieval with text generation to produce more accurate outputs. It can improve accuracy and reduce hallucinations in GenAI outputs.
The information inputted into a GenAI model to teach it how to recognise patterns and make predictions.
Before using any AI tools check with your module tutor that the one you would like to use, and the purpose you intend to use it for, is permitted for your assignment.
Any use of AI must be explicitly acknowledged and any content created using an AI tool must be clearly identified and referenced using guidance from the APA referencing guide.
You should provide a description of the prompts or questions you used with any AI tool, details of the output generated, and (where applicable) information demonstrating how you modified the content for inclusion in your assessment.
You may be required include the content created either in your work or as an appendix and should check with your module tutor for clarification.
Example:
When prompted to 'Provide examples of children's literature' ChatGPT (OpenAI, 2013) generated text that offered several titles including The Crossover and Last stop on Market Street. The full list can be seen in Appendix A.
You should provide a citation and a reference for any AI tools you have used using the guidance in the APA referencing guide.
Some AI tools will produce what look like genuine references to credible sources but they are likely to be made up or out-of-date. It is also worth noting that the AI tools you use may not have access to subscription based content that is available from Library Search or other subject databases that you have access to as an Leeds Trinity University student.
If an AI tool you are using does suggest a reference you should try and find it using Library Search or Google Scholar and check it for relevancy and accuracy before using it in your work.
We recommend the following further resources:
Frameworks and toolkits
Online courses
Reports