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← AI Literacy: Use It Well & WiselyLesson 9 of 9

Lessons

1 · What AI really is (and isn't)
2 · Prompting well
3 · Practice: fix the weak prompt
4 · Verify the output (hallucinations)
5 · Spotting deepfakes and synthetic media
6 · Practice: spot the red flags
7 · Bias, ethics, and honesty
8 · Privacy, security, and putting it together
9 · Check your understanding

9 · Check your understanding

1. At its core, what is a large language model (LLM) doing when it answers?

Reasoning like a human expertLooking the answer up in a verified databaseSearching the live web every timePredicting the most likely next chunk of text from patterns

2. When an AI confidently states something false, it's called a…

HallucinationGlitchSyntax errorBug

3. An AI gives you a citation. What makes it trustworthy?

The AI sounded sureIt looks officialYou opened it and confirmed it says what's claimedIt has a DOI

4. Which best helps you check whether a shocking video is real?

Check provenance (Content Credentials) and trace it to the originalA friend shared itIt has lots of viewsIt made you feel strongly

5. Why can an AI answer be biased even when it sounds neutral?

It has opinionsIt is brokenIt prefers certain usersIt learned from human-made data that contains bias

6. Which should you NOT paste into a public AI tool?

A made-up exampleA passage from a public articleA general questionPasswords or someone's personal data

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“At Rise Wellness, we believe everyone has the capacity to rise above challenges and live a fulfilling, healthy life. Our care is guided by the belief that healing is personal, holistic, and rooted in compassion.”Rise Wellness of Indiana

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9 · Check your understanding · Learn.WitUS