AI Literacy for Non-Technical Professionals

AI Literacy

AI literacy is the judgment and working knowledge needed to decide when an AI system belongs in a task, give it useful context, test what it produces, and keep responsibility for the outcome with the person using it.

Next in sequence: Prompt Engineering

Prompt Engineering

The specialized skill of crafting effective instructions and queries for AI systems to generate desired outputs, combining technical understanding with creative communication techniques.

Next in sequence: Human-AI Collaboration

Human-AI Collaboration

The ability to divide, coordinate and review work between people and AI so each contributes where it is strongest while humans retain appropriate judgment and accountability.

Next in sequence: AI Ethics

AI Ethics

AI ethics is the practical ability to identify who may benefit or be harmed by an AI-enabled decision, test the system and workflow for risks such as unfairness, privacy loss and weak accountability, and put proportionate safeguards in place before and during use.

Next in sequence: Digital Literacy

Digital Literacy

Digital literacy is the ability to use digital tools confidently and critically to find, evaluate, create, communicate and protect information while solving real problems rather than simply knowing how to operate a device or app.

Next in sequence: Critical Thinking

Critical Thinking

Critical thinking is the ability to examine a claim or decision by separating evidence from assumptions, testing alternative explanations, judging uncertainty, and reaching a conclusion that is proportionate to what the evidence actually supports.