AI literacy · 8 min
AI Literacy: What AI Can and Can't Do
A plain-language tour of how today's AI tools work, where they shine, and where they fail.
What a language model actually does
Tools like chat assistants are trained on large amounts of text. They predict likely next words, which lets them draft, summarize, and explain. They don't 'know' facts the way a database does.
Where AI helps job seekers
AI is good at rephrasing, organizing information, brainstorming interview questions, and explaining unfamiliar terms.
- Turning a rough bullet into a clear one
- Summarizing a long job posting
- Practicing interview answers
Where AI goes wrong
AI can state wrong information confidently (sometimes called 'hallucination'). It can reflect biases in its training data. Always check facts, dates, salaries, and legal claims against a trusted source.
Your rule of thumb
Use AI as a drafting partner, not an authority. You are responsible for what goes on your resume, so keep it true.
Check your understanding
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