Being AI Literate does not mean you need to understand the advanced mechanics of AI. It means that you are actively learning about the technologies involved and that you critically approach any texts you read that concern AI, especially news articles.
In general, is important to understand the different kinds of AI and if, how, and when to use AI tools in your coursework or research. The practice of learning how to identify, use, and evaluate AI tools and products is building a set of literacies similar to when a person learns to read, write, and think critically. Below are three steps to help you build foundational knowledge and practical skills to engage effectively with AI:
Understand AI: The first step involves grasping basic concepts about how AI works and various types. This includes learning about machine learning, natural language processing, and other key AI technologies. A solid understanding of how AI tools are designed and the types of tasks they can perform is critical at this stage. It's essential to explore what input these tools require and what kinds of outputs (text, audio, visual) they generate.
Use and Apply AI: Once you understand the basics, the next step is to start using AI tools in practical scenarios. This involves interacting with systems like ChatGPT to achieve desired outcomes, experimenting with prompt engineering, and learning how to iterate and improve outputs. At this level, you may begin to witness potential issues, such as AI-generated biases and hallucinations.
Analyze and Evaluate AI: After becoming familiar with AI tools, the next step is to critically evaluate them. This involves reflecting on the ethical, societal, and environmental impacts of AI, analyzing its broader implications, and assessing the potential biases in its outputs. At this stage, users can discuss and critique the development and use of AI in various applications.
Together, these steps can help you develop a robust literacy around AI, enabling you to engage with the technology thoughtfully and responsibly.
References
OpenAI. (2024). ChatGPT [Large language model]. https://chatgpt.com
BenMessaoud, F. (2024). Must-have competencies and skills in our new AI world: A synthesis for educational reform. EDUCAUSE REVIEW.
Hervieux, S. & Wheatley, A. (2020). The ROBOT test [Evaluation tool]. The LibrAIry. https://thelibrairy.wordpress.com/2020/03/11/the-robot-test
Hibbert, M., Altman, E., Shippen, T., & Wright, M. (2024). A framework for AI literacy. EDUCAUSE REVIEW.