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Artificial Intelligence

Artifical Intelligence and the research process

AI Literacy

AI is appearing in our everyday lives and in our research tools. What do we need to know to use and evaluate its outputs effectively? The following learning outcomes formulated by Queen's Library, describe what an AI literate person is able to do.

  • Identify characteristics of specific AI tools, including their purpose, origin and scope of content, and how they operate
  • Develop skills to use AI tools including search strategy, tool selection, algorithmic awareness, and prompt engineering
  • Evaluate AI-generated outputs using criteria including bias (gender, racial stereotyping, Western vocabulary, context, cultural references and images) data sources, accuracy, limitations, ethics
  • Assess the influence and use of AI across different disciplines and in social, cultural, economic, and political contexts, including the future of language use and patterns
  • Uncover the human factors needed to interpret and analyse AI outputs

 

 

Related Readings

Bali, Masha. (2024). Where are the crescents in AI? LSE Higher Education Blog.

Bakke, A. (2020). Everyday Googling: Results of an observational study and applications for teaching algorithmic literacy. Computers and Composition, 57, 102577.

Ng, D. T. K. (2022). AI literacy in K-16 classrooms. Springer.

Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI Literacy: Definition, Teaching, Evaluation and Ethical Issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487

Ridley, M., & Pawlick-Potts, D. (2021). Algorithmic literacy and the role for libraries. Information technology and libraries, 40(2).