Introduction to Artificial Intelligence

Traditional programs say “if this, then that”: if the password is wrong, deny access. Machine learning says “here are thousands of emails marked spam or not spam; learn what tends to be true.” It learns probabilities, not a fixed script, which makes it powerful and sometimes unpredictable.

Training shapes behavior. If the examples contain mistakes, bias or harmful patterns, the system learns those too. So when you hear “the AI decided”, translate it: a model trained on past data produced an output based on patterns.

Most AI is narrow: very good at one kind of task and blind outside it. Instead of asking “is it intelligent?”, ask “what task is it built for, and how does it fail?” That question replaces awe with analysis.

Because AI writes what sounds likely, it can produce professional-sounding text containing errors, invented citations, incorrect dates or fake details. People call it hallucination; you just need the habit of checking.

Verify important claims through independent sources, exactly as you learned for web pages. Deadlines, amounts, eligibility rules and phone numbers get checked on the official site, reached your own way.

Treat AI like a powerful assistant, not an all-knowing authority. Its answers deserve the same calm troubleshooting you use for any tool: useful, and fallible.

You do not need jargon. A reliable pattern: Role (“Act like a career counselor”), Task (“Rewrite this email”), Constraints (“under 120 words, respectful, plain language”), Output format (“give me three options”). Asking for a “minimum effort” and a “best practice” version keeps you in charge.

For a job application: paste the job posting and your resume with personal details removed, and ask for three tailored bullet points, adding “do not invent any experience”. Then keep only what is accurate.

AI output is an editable draft, not final truth. If it adds dates, policy names or legal language you did not supply, remove them unless you have checked them. AI is not the skill. Judgment is the skill.

Before pasting, ask three questions. Would I be comfortable seeing this on a screen in a public room? Who owns this information? Can I reach my goal with less exposure?

To understand a government notice, paste the confusing paragraph, not your address and claim number. To write a complaint, you do not need your whole medical history. You get the benefit without handing over the keys.

Privacy is also about your future self: a habit of pouring sensitive details into whatever tool is convenient builds a life that is easier to exploit later. Many tools have a setting to stop saving chats or using them for training; look for it.

Bias comes from biased training data, missing data (a system trained mostly on one kind of face, voice or writing works worse for everyone else), and biased goals. It is hard to argue with when it hides behind “the computer says so”. You are not being difficult when you ask for an appeal; a tool should not be judge and jury.

AI tends to take over language-heavy and routine tasks first: drafting, summarizing, sorting. The human role shifts toward context, empathy, negotiation, responsibility and deciding what matters. AI literacy and verification are becoming job skills in their own right.

At work, use AI openly and within policy. Never submit AI work you did not review, never let it invent facts, and never let it create a false record. Your name is still on the output.