Artificial intelligence in plain English
Artificial intelligence (AI) is software that performs tasks we normally associate with human thinking, such as understanding language, recognizing patterns, and making predictions. It is not a conscious mind. It's a very capable statistical tool that has learned patterns from huge amounts of data.
Most of the AI you'll use at work today is a type called machine learning: instead of a programmer writing explicit rules, the system learns patterns from examples. Generative AI is a newer branch that can create new text, images, or code rather than just classifying or predicting.
- AI: the broad field of making machines do 'smart' tasks.
- Machine learning: systems that learn patterns from data instead of hard-coded rules.
- Generative AI: models that produce new content (text, images, code).
- Large language model (LLM): the technology behind tools like ChatGPT and Claude.
Traditional software vs. generative AI
A payroll system follows exact rules: if hours = 40 and rate = $20, pay = $800. A generative AI tool is different: ask it to 'write a warm thank-you note to a client for renewing,' and it produces original wording that fits the request, differently each time.
Pro tip
When you hear 'AI' at work in 2026, it almost always means a generative AI tool built on a large language model. That's the focus of this course.
Key takeaway
AI is pattern-based software that learned from data: powerful and useful, but a tool, not a thinking colleague.
Next: Take the practice quiz before the next lesson
Answer 2 quick questions to complete this lesson and earn 20 Points. You need to finish it to continue.