AI Fundamentals
Access foundational resources to enhance staff AI literacy.Downloadable resources
These resources are aimed for staff working in HE or FE. The content is aimed at providing a foundational level of artificial intelligence (AI) literacy with accessible explanations and examples. This section provides an introduction to AI technology, covering key terms we use when talking about AI, how AI systems are created and their benefits and limitations for users.
AI in work
Explores what AI and generative AI are, highlighting their applications in education, including teaching, administration, and student engagement, while emphasising the importance of using generative AI tools responsibly.
How are AI systems created?
Explains the processes involved in creating AI systems, from the importance of data quality and machine learning techniques to the human expertise required at every stage.
Download How are AI systems created
What can AI help us with?
Explores how AI enhances productivity by automating tasks and extends our capabilities. Highlights practical applications in education, such as lesson planning, and content creation.
Download What can AI help us with
What are the limitations of AI?
Examines the challenges associated with AI systems, including biases, lack of transparency, and the potential for incorrect or outdated outputs. Highlights the importance of critically assessing AI-generated content.
Download What are the limitations of AI
Ethical issues around AI and student perceptions
Highlights key ethical challenges of AI in education, including environmental impact, data collection concerns, and labour practices. Explores risks like misinformation and deepfakes while emphasising the need for digital literacy.
Download Ethical issues around AI and student perceptions
Using AI responsibly
Focuses on using AI as an assistant, fact-checking outputs, safeguarding privacy, and ensuring transparency. Highlights the need to follow institutional guidelines.
