AI Literacy

Why do I need to learn this?

With the rapid development of generative AI, or generative artificial intelligence, since the end of 2022, tools using Large Language Models or generative art have become freely available and offer images and text which students may want to use in their study and their assignments.  You may also find they are increasingly used in the workplace and need to be prepared for that.

It is important to grasp how these AI tools work in order to avoid any possibility of plagiarism.  It is also important to understand whether it is ethical to use them at all for a variety of reasons.

These pages will help you:

  • recognize AI in the world around you and have an appreciation of its impact;
  • recognize different kinds of AIs;
  • understand how AI works at a basic level and how much intelligence AI has;
  • understand AIs’ strengths and weaknesses;
  • better develop your prompt engineering;
  • consider various ethical issues such as hallucinations, bias, accountability, transparency, and reasonable academic use.

See also our Library Guide on Using Generative AI in coursework or research:

 

Alto, V. (2023).  Modern generative AI with ChatGPT and OpenAI models: leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4.  Packt Publishing. https://prism.librarymanagementcloud.co.uk/port/items/1532985

Cremer, D. et al (2024).  Generative AI: The insights you need from Harvard Business Review.  Harvard Business Review Press. https://prism.librarymanagementcloud.co.uk/port/items/1529168

Hiran, K.K. (2023).  Handbook of research on AI and knowledge engineering for real-time business intelligence.  IGI Global. https://prism.librarymanagementcloud.co.uk/port/items/1500412

Kanbar, V. (2024).  The AI revolution in project management: elevating productivity with generative AI.  Sams. https://prism.librarymanagementcloud.co.uk/port/items/1531544

McQuillan, D.  (2022).  Resisting AI: an anti-fascist approach to artificial intelligence.  Bristol University Press. https://prism.librarymanagementcloud.co.uk/port/items/1523575

Miller, D.J. (2024).  Adversarial learning and secure AI.  Cambridge University Press. https://prism.librarymanagementcloud.co.uk/port/items/1520197

Schmarzo, B. (2024).  AI & data literacy: empowering citizens of data science.  Packt Publishing. https://prism.librarymanagementcloud.co.uk/port/items/1533049

Shrier, D. (2024).  Welcome to AI: a human guide to artificial intelligence.  Harvard Business Review Press.  https://prism.librarymanagementcloud.co.uk/port/items/1531127

Sloot, B. (2024).  Regulating the synthetic society: generative AI, legal questions and societal changeshttps://prism.librarymanagementcloud.co.uk/port/items/1534130

Yanev, M. (2023).  Building AI applications with ChatGPT APIs: master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects.  Packt Publishing. https://prism.librarymanagementcloud.co.uk/port/items/1533095

Zinke-Wehlmann, C. (2023).  First Working Conference on Artificial Intelligence Development for a Resilient and Sustainable Tomorrow: AI Tomorrow 2023. Springer Vieweg. https://prism.librarymanagementcloud.co.uk/port/items/1533806