Understand the concepts and functions of AI

• Know the terminology (e.g., Large Language Model, Machine Learning)

• Know the types of AI (e.g., Generative AI, Agentic AI)

• Know the functions of AI (e.g., content creation, problem solving)

• Know the limitations (e.g., lack of creativity, no ethical decision-making capacity)

• Know the risks (e.g., bias, lack of transparency, security vulnerabilities)

Evaluate AI – before you use it

• Is the source of the application reputable? Can the provider explain how it works?

• Does the application tell you what data it is trained on? Is that data credible? If you’re unsure, do you have the time to evaluate any references?

• Is there a Data Privacy policy? If not, assume your data isn’t safe.

• What about the application’s environmental impact? Can it be used by people with disabilities?

Evaluate AI – while you use it

Look out for:

• Hallucinations (i.e., fabricated but plausible-seeming outputs) and inconsistent responses

• Evidence of bias, misinformation and disinformation

• Evidence that sources cited are genuine

Human Critical Engagement

• AI applications should support, not replace, your thinking, reading and writing

• Cite and attribute any material or ideas you take from outside sources. The responses of AI tools may include language from published information, so always credit the original authors

• Identify your skill gaps and keep learning

Use AI applications intelligently

• Proactively use AI to support your thinking, not to find simplistic “answers”

• Learn to write great prompts

• Develop creative questioning strategies for query-based applications