What AI is (and is not)
What you'll get out of thisLearner produces a one-paragraph plain-language description of how AI is being used in their own department today.
Why this module exists
Most employees use AI products without realizing it: search auto-suggest, fraud detection on a credit card, the spam filter, the camera app on a phone. When a company says "we're going to use AI," the employee picture might be a robot or a movie villain. That gap between everyday AI and imagined-future AI is where fear and recklessness both live.
This module closes the gap by naming three things AI is today and three things it is not.
Three things AI is
1. Pattern recognition over text, images, and data.
AI tools find patterns in what they've been trained on and produce a guess at what comes next. The smarter the AI looks, the bigger its training set and the more practiced its guessing.
2. A junior assistant who can read fast and never gets tired.
Use it like you'd use a smart, eager intern: it can draft, summarize, search, suggest, and rewrite. It works at typing speed. It does not replace your judgment.
3. A confidence machine.
AI is trained to sound confident. It will sound confident when it's right and confident when it's wrong. Learning to tell the difference is the actual skill of using AI well. It's what the rest of this course teaches.
Three things AI is NOT
1. A truth machine.
AI does not know facts. It generates text that looks like facts. When the pattern in its training matches reality, it sounds right. When the pattern doesn't match, it still sounds right, because it always sounds right. Treat every AI output the way you'd treat a confident new hire's first draft.
2. A replacement for the human accountable for the work.
If AI helps you write a customer email, you sent the email. If AI helps you price a quote, you signed the quote. If AI gets it wrong, your name is on it. AI does not own outcomes. People do.
3. A general intelligence.
The AI you use at work in 2026 is excellent at language tasks (write, summarize, translate, explain) and improving at images, voice, and structured analysis. It is not a person. It does not understand the world. It does not learn from talking to you unless the system is specifically built to remember (Memory features, Projects). When in doubt, assume each new chat starts fresh.
What this means for your work
If your job involves words (writing, reading, replying, drafting, summarizing, scheduling, explaining), AI can help you do that faster.
If your job involves judgment (deciding, approving, hiring, firing, pricing, releasing), AI can help you think about the decision but cannot make the decision for you.
If your job involves things AI shouldn't see (customer financial data, employee records, trade secrets, regulated information), there's a separate course module about that (0.3). The short version: don't put it in unless you've checked with the person who owns the policy.
In-module exercise (5 minutes)
Write a one-paragraph description (3 to 5 sentences) of how AI is being used in your department today. Examples:
- ·"Nobody in my department uses AI officially. A few people use ChatGPT on their phones to draft customer emails."
- ·"Our scheduling tool has an AI feature that suggests time slots. The dispatcher uses it for routing."
- ·"Our accounting software auto-categorizes transactions, which I think is AI, but I'm not sure."
If you don't know, ask one teammate. The honest answer is acceptable. "I don't know what we use" is a real answer and you'll come back to it in Module 0.2.
Knowledge check
- ·AI sounds confident when it's right and when it's wrong. (True / False)
- ·If AI helps you draft a customer email and the email contains a factual error, who is accountable? (You / The AI / The vendor / The IT team)
- ·AI is best thought of as: (a) an oracle, (b) a junior assistant, (c) a search engine, (d) a calculator)
Answers: 1. True. 2. You. 3. (b).
What's next
Module 0.2 helps you spot the daily-use opportunities. You'll leave with three you can try this week.