Skip to content
← Catalogue Modern Skills 150 level Created by AI

AI Literacy: Using AI Wisely and Responsibly

Professor: Sikh Archive · Source: Sikh Archive

AI Literacy: Using AI Wisely and Responsibly

Begin course 6 lessons · 8-question test · 80% to pass
Created by AI. Drafted with AI and reviewed for accuracy. Spotted an error? Tell us.

What you'll learn

  • Explain in plain words what AI tools can and cannot do, and why they sometimes sound certain while being wrong.
  • Check and verify AI answers before you trust or share them.
  • Protect your privacy by knowing what is safe and unsafe to type into an AI tool.
  • Notice bias and unfairness in AI results and think about who might be left out or harmed.
  • Spot deepfakes and AI-made misinformation, and slow down before believing or forwarding them.
  • Use AI honestly at school and at work, treating it as a helper that serves people, not a replacement for your own judgment.

Key terms — ਸ਼ਬਦਾਵਲੀ

TermAcademic context
Artificial Intelligence (AI)Computer software that does tasks we usually think need human thinking, like writing, answering questions, or recognizing pictures.
Large Language ModelAn AI trained on huge amounts of text that predicts likely words to form sentences. It is the engine behind many chatbots.
HallucinationWhen an AI makes up facts, names, or sources that sound real but are false.
PromptThe instruction or question you type into an AI tool to tell it what you want.
BiasWhen an AI gives unfair or one-sided results because the data it learned from was unfair or incomplete.
DeepfakeA fake photo, video, or voice made by AI to look or sound like a real person.
MisinformationFalse or misleading information that spreads, whether or not someone meant to deceive.
Personal DataAny information that can identify you, such as your name, address, phone number, ID numbers, or health details.

Lessons

1. What AI Is and Why It Can Be Confidently Wrong

Course Lessons

  1. What AI Is and Why It Can Be Confidently Wrong
  2. Checking AI Answers Before You Trust Them
  3. Privacy: What Not to Share with AI
  4. Bias and Fairness in AI
  5. Deepfakes and Misinformation
  6. Honesty and Using AI as a Tool That Serves People

Artificial Intelligence, or AI, is software that does jobs we usually think need a human mind. It can write text, answer questions, summarize long documents, and recognize faces or voices. Many of the chatbots people use today run on a large language model. This kind of AI learned from a huge amount of text and works by guessing the next likely word, over and over, to build sentences.

This is the key idea to remember: the AI is predicting words that sound right. It is not looking up a fact in a trusted book or checking whether something is true. Because of this, an AI can give you a smooth, confident answer that is simply wrong. When an AI makes up facts, names, or sources, we call that a hallucination.

The tone of an AI answer does not tell you if it is correct. A wrong answer and a right answer can both sound polished and certain. That is why your own judgment still matters.

AI is good atAI is risky at
Drafting and rewording textGiving exact facts, dates, and numbers
Summarizing what you give itNaming real sources or quotes
Brainstorming ideasMedical, legal, or money advice
Explaining ideas simplyAnything where being wrong causes harm

Use AI as a fast first helper, not as the final word. Treat its answers like a draft from a clever but careless assistant: useful, but always worth checking.

References

  • UNESCO, Recommendation on the Ethics of Artificial Intelligence
  • U.S. National Institute of Standards and Technology (NIST), AI Risk Management Framework
  • MIT Technology Review, reporting on AI and society

2. Checking AI Answers Before You Trust Them

Since an AI can be confidently wrong, the most important skill is checking its answers. This does not need to be hard. It is mostly about slowing down and asking, "How do I know this is true?"

Here are easy ways to verify AI output:

  • Look it up elsewhere. Search for the same fact on a trusted website or in a known source. If you cannot find it anywhere else, be careful.
  • Check the sources it gives. AI sometimes invents books, links, or quotes. Open the link or search for the title yourself. If it does not exist, the answer is not trustworthy.
  • Watch for exact details. Names, dates, numbers, and statistics are where AI slips most often.
  • Ask in a different way. If you get a very different answer the second time, that is a warning sign.
  • Use your own knowledge. If something feels off or too neat, trust that feeling and dig deeper.
Type of questionHow much to verify
Reword my emailJust read it over
Explain a general ideaLight check
A fact, date, or statisticVerify with a trusted source
Health, legal, or money matterConfirm with a qualified person

A good rule: the more it matters, the more you check. For high-stakes topics like health, law, or finances, treat AI as a starting point only, then confirm with a real expert.

References

  • U.S. National Institute of Standards and Technology (NIST), AI Risk Management Framework
  • Mozilla Foundation, public guidance on trustworthy AI
  • MIT Technology Review, reporting on AI and society

3. Privacy: What Not to Share with AI

When you type something into an AI tool, that text often leaves your device and travels to a company's computers. Some companies may store it, review it, or even use it to train future AI. So the simple rule is: do not type anything into an AI tool that you would not be comfortable sharing with a stranger.

Personal data means any information that can identify you or someone else. This is the kind of thing to keep out of AI chats unless you are sure it is safe and private.

Risky to shareUsually safe to share
Full name, address, phone numberGeneral questions with no names
ID, passport, or account numbersMade-up examples instead of real details
Passwords and login detailsPublic information already online
Health or financial recordsPractice text with names removed
Someone else's private detailsYour own general opinions

A few habits that protect you:

  • Remove real names and numbers before pasting text. Replace them with placeholders like "Person A."
  • Check the tool's privacy settings. Some let you turn off training on your data or delete your history.
  • Be extra careful at work. Company secrets, customer data, and unreleased plans should not go into public AI tools.
  • Remember that free tools are often the least private.

Protecting privacy is not only about you. When you share another person's details with an AI, you are making a choice for them too. Respecting others means guarding their information as carefully as your own.

References

  • OECD AI Principles (Organisation for Economic Co-operation and Development)
  • Mozilla Foundation, public guidance on trustworthy AI
  • UNESCO, Recommendation on the Ethics of Artificial Intelligence

4. Bias and Fairness in AI

AI learns from data made by people, and people are not always fair. If the data carries old prejudices, missing groups, or one-sided views, the AI can repeat and even strengthen them. This is called bias.

Bias in AI is not always loud or obvious. It can show up quietly, such as an image tool that mostly pictures one kind of person for a job, or a hiring tool that scores some names lower. Because AI sounds neutral and technical, unfair results can be easy to miss.

Where bias comes fromWhat it can look like
Unbalanced training dataSome groups left out or shown poorly
Past human decisions in the dataOld unfairness repeated automatically
Who built and tested the toolBlind spots no one noticed
How the AI is usedOne group helped more than another

To stay fair-minded:

  • Ask who might be missing or harmed by an AI result.
  • Do not let AI make important decisions about people on its own, such as hiring, lending, or grading.
  • Notice patterns. If a tool keeps favoring or ignoring certain groups, speak up.
  • Remember that "the computer said so" is not a fair reason to treat someone badly.

The goal is fairness and dignity for everyone. AI should serve all people, not only the ones who happen to be well-represented in the data. Caring about who gets left behind is part of using AI responsibly.

References

  • UNESCO, Recommendation on the Ethics of Artificial Intelligence
  • OECD AI Principles (Organisation for Economic Co-operation and Development)
  • U.S. National Institute of Standards and Technology (NIST), AI Risk Management Framework

5. Deepfakes and Misinformation

AI can now create very realistic fake photos, videos, and voices. A deepfake is a fake that uses AI to look or sound like a real person, sometimes saying or doing things they never did. AI can also write huge amounts of false text quickly, which fuels misinformation: false or misleading information that spreads.

This matters because fakes can fool people, damage reputations, and stir up anger or fear. They spread fastest when they are shocking or emotional, because people forward them before checking.

Warning signs of a fakeWhat to do
It makes you very angry or scared fastPause before reacting or sharing
No clear, trusted sourceSearch for the same news elsewhere
Odd details in a video or photoLook closely at hands, ears, blinking, edges
A famous person doing something strangeCheck official accounts or real news
It is only on one unknown accountTreat it as unverified

Simple protection habits:

  • Slow down. Most harmful sharing happens in a hurry.
  • Check the source before you believe or forward anything.
  • If you cannot confirm it, do not share it.
  • Be honest if you spread something false by mistake, and correct it.

Being careful with what you share is a way of respecting others and protecting your community from being misled. One thoughtful pause can stop a lie from reaching hundreds of people.

References

  • MIT Technology Review, reporting on AI and society
  • Mozilla Foundation, public guidance on trustworthy AI
  • UNESCO, Recommendation on the Ethics of Artificial Intelligence

6. Honesty and Using AI as a Tool That Serves People

AI is a powerful tool, and like any tool, it can be used honestly or dishonestly. Using it well means being open about it and keeping your own effort and judgment in the work.

At school, honesty means following your teacher's rules. If you are asked to do your own work, turning in AI text as if you wrote it is cheating, and it also robs you of learning. A fair way to use AI is to help you understand a topic, check your grammar, or brainstorm, while the real thinking stays yours. When in doubt, ask and disclose.

At work, honesty means not pretending AI work is fully your own when that matters, not hiding AI use where it could mislead, and not putting private company or customer data into public tools. Always check AI output before you rely on it, because your name is on the result.

Honest use of AIDishonest use of AI
Brainstorming ideas you then developPassing AI work off as your own when rules forbid it
Asking it to explain a hard topicCheating on tests or graded work
Drafting that you edit and verifySpreading AI claims without checking
Telling people when AI helped, if it mattersUsing fakes to deceive or harm others

The bigger idea is this: AI should serve people, not replace human care, honesty, and responsibility. A good question to ask before using AI is, "Does this help people and treat them fairly?" Keep yourself, your conscience, and your community at the center. The machine is the helper. You are still the one responsible.

References

  • UNESCO, Recommendation on the Ethics of Artificial Intelligence
  • OECD AI Principles (Organisation for Economic Co-operation and Development)
  • Mozilla Foundation, public guidance on trustworthy AI

Course test

Pass with 80% or higher to complete the course and unlock the next one.

1. Why can an AI chatbot give a wrong answer while still sounding confident?
2. What is the best first step before trusting an important fact an AI gives you?
3. An AI "hallucination" means:
4. Which of these is the riskiest thing to type into a public AI tool?
5. AI bias usually comes from:
6. What is a deepfake?
7. You see a shocking video that makes you instantly angry. What is the responsible thing to do first?
8. Which describes using AI honestly at school or work?

References & further reading

  1. UNESCO, Recommendation on the Ethics of Artificial Intelligence
  2. OECD AI Principles (Organisation for Economic Co-operation and Development)
  3. U.S. National Institute of Standards and Technology (NIST), AI Risk Management Framework
  4. MIT Technology Review, reporting on AI and society
  5. Mozilla Foundation, public guidance on trustworthy AI

Read the source texts

Read the primary sources for yourself — the Gurbani in our read-along reader, and the original works in the source library.

Rate this course

Discussion & Q&A

Sign in to post.