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Taipei AQI 47 · Taichung AQI 44 · Tainan AQI 57 · Kaohsiung AQI 45
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AI Literacy

Use AI, but do not let AI use you

AI has already permeated every corner of learning, work and daily life. AI literacy is not about learning more AI tool functions, but about learning to keep your own judgement and creativity, and not being led by AI in the process of using it.

This page is written by Uedu An integration of six official AI literacy documents from international and local sources (UNESCO, OECD, EU AI Act, AAAI, IEEE, Taiwan Ministry of Education),Mainly written for university students, teachers and those concerned about AI education, and it is also suitable for readers at senior secondary level and above, or anyone who wants to understand what AI literacy is. Want to view the academic version →

Six dimensions × three levels = 18-cell spectrum

After reading the introduction,
would you like to test your AI literacy?

47-item self-assessment, about 10–15 minutes. After completion, you will receive a personal AI literacy spectrum — clearly showing where you stand on each of the six capability dimensions, which areas are already solid, and which still need strengthening. Your quiz results will also be combined with your learning activities across Uedu courses, forming your own AI literacy trajectory.

47 items · about 10–15 minutes | can be saved at any time and continued later | when re-answering, history is retained so progress can be seen
Key points on this page · 5-second summary

AI literacy: you can use AI, and you have sound judgement

  • AI literacy ≠ knowing how to use AI. Knowing how to use AI is tool operation; AI literacy is "knowing how to use it + knowing when to use it, when not to use it, and how to judge it afterwards". It is the same capability asmedia literacy—recast in AI form.
  • Break it down into six capabilities: recognising AI, using it responsibly, protecting data, questioning AI, letting AI help you learn, and using AI to create while also being willing to refuse.
  • The three rules for using AI without trouble: name it (state which AI you used), record it (keep the conversation), explain it (explain how you verified what the AI gave you).
  • The world is moving: the EU wrote AI literacy into law in 2024, UNESCO published a framework, Purdue University made it a graduation requirement in 2025, Cornell had 7,000 students complete it, and 90% of primary and secondary students in Taiwan have used AI.
  • Don't worry if you are not ready yet — pick one of the six capabilities and start with the situations in which you use AI today (writing assignments, finding information, creating content).

Wait a moment, what is "literacy"?

Before entering AI literacy, first clarify what 'literacy' means

Have you heard of “media literacy”? In recent years, the news, schools and parents have all been talking about it — teaching people to identify fake news, spot bias and verify sources.

"Media literacy" is a type of literacy; people are just more familiar with that name.

In other words, 'competence' may sound abstract, but it actually means something very simple:
You can do this, and do it appropriately in different situations.
Reads the news a lot ≠ Has media literacy (that is, “media literacy”)
Will browse news

You can finish reading one message.

Media literate

You will ask who wrote it, what the stance is, and whether it should be checked before sharing.

Then "AI literacy" is —

You will use AI, and:

  • Know when to use it and when not to use it
  • Can you tell whether what AI says is correct, and whether you should trust it completely
  • Distinguish clearly whether what AI does counts as yours, and who is responsible

It is the same capability as media literacy —just the AI version.

Why do we need AI literacy?

It is not because AI is so frightening, but because three things happen every day

Most
University and secondary school students in Taiwan have already used AI—from doing assignments, finding information and organising notes to creating content.
You are no longer one of the few who do not use AI—but being able to use AI with judgement is the real key.
1

AI writes very well, yet cites fake sources

You turn on AI to help with your homework. It writes fluently and sounds very convincing. Only after submitting it do you realise the cited paper does not exist at all.

2

AI sounds very convincing, but may be misleading you

You look up a historical event, and AI gives you a time, place and person that sound perfectly reasonable. How do you know it is true? Or is it “confidently making things up”?

3

What you do with AI — is it still really 'yours'?

AI designed a poster for you, wrote a piece of code, and drew a picture. It looks good. But is it your work? Can you say, 'I made this'?

There is no standard answer to these three questions. Butpeople with AI literacy can handle them calmly.

This is no longer a question of “whether to learn it”

Over the past three years, from top universities in the United States to the United Nations, the world has kept moving —

2024 · EU legislation

Article 4 of the EU AI Act: AI literacy becomes a legal obligation

The EU has passed the AI Act (Regulation 2024/1689). The law explicitly requires organisations using AI systems to ensure that their staff have AI literacy; breaches of the provisions carry penalties.

For the first time, an international law has written AI literacy into its articles.
2024 · UNESCO

UNESCO's AI literacy framework for students, published in nearly 200 countries

The United Nations Educational, Scientific and Cultural Organization (UNESCO) has released the AI Competency Framework for Students, clearly listing what students need to know in the AI era.

In the same year, Taiwan's Ministry of Education issued the 'Generative AI Education Guidelines', gradually introducing them from primary school to university.
2023-2024 · Global universities

MIT, Stanford, Harvard, NTU, Central University... all are moving

Leading universities have successively formulated guidelines for the use of generative AI, introduced general education courses on AI literacy, and established AI ethics committees. Stanford established the HAI (Human-Centred AI) research centre as early as 2019 and has invested substantial resources.

2020 · Academic baseline

AAAI presented an AI literacy framework at the top-tier CHI 2020 conference

The AI academic organisation AAAI’s Long & Magerko proposed the AI Literacy framework at CHI 2020; to date it has been cited by more than 800 academic papers and is a key reference for university course design worldwide.

2026 · Cornell

Critical thinking online module, completed by 7,000 Students

Cornell University launched an online AI critical thinking module, and 7,000+ students have completed it. The focus is not on teaching how to use AI, but on cultivating the ability to 'think in the age of AI' — giving students a shared language.

2026 · DeVry University

Commit to embedding AI literacy across all courses by the end of 2026

DeVry University has publicly committed that, by the end of 2026, every course will embed AI literacy training. From nursing and accounting to engineering, teaching content across the whole university must be updated.

What about Taiwan? We are moving too

Not only overseas — Taiwan itself has a series of local initiatives as well —

  • National Taiwan University TAICA Artificial Intelligence Programme Alliance: an inter-university credit-bearing programme spanning multiple universities
  • Taiwan AI Academy “Good-to-use AI Literacy Project”: developed in collaboration with Meta and launched with 14 partner institutions, providing all-round teaching materials from principles and opportunities to risks
  • National Taiwan Normal University “Guidelines for Learning Applications and References for Generative AI”: official teaching guidance for university students and instructors
  • Ministry of Education's "Generative AI Education Guidelines": Published in 2024, with six major principles and gradual adoption from primary school to university
  • National Taichung University of Education Smart Education Centre, National Cheng Kung University AI Talent Development Programme and other university-level initiatives
Why is everyone suddenly making changes in 2024?

ChatGPT appeared at the end of 2022, and GPT-4 was released in 2023 — the pace of capability leaps caught the world unprepared. Since then, governments, international organisations and universities have spent three years rushing to fill the gap.

World Economic Forum (WEF) 2023 Future of Jobs Report conclusion: "AI and big data" are the top priority skill training focus for the next five years.

Not using AI will not get you phased out —
what will is not being able to “use AI” (that is, lacking AI literacy).

AI literacy = six capabilities

From understanding AI to rejecting AI, six capabilities form complete AI literacy. None of these capabilities are abstract; they are all judgements you will use in everyday life.

Ability 1

Understand what AI is

AI Foundations

You know what AI is doing, and what it is not doing. You do not treat AI as magic, nor as a search engine for looking things up.

Self-questioning

Can I state the key difference between ChatGPT and Google Search?

A friend says, “AI just scrapes things from the internet — nothing special.” How would you respond?
Ability 2

Use AI responsibly

Ethics & Responsibility

Know that AI can be biased and can make mistakes. But when you use something produced by AI, the responsibility is not AI's, it is yours. There is another often overlooked aspect — the electricity used to train a large AI model is roughly equivalent to a small town's annual electricity consumption. 'Should AI be used' is not just an academic question, but also an environmental responsibility.

Self-questioning

If AI wrote something incorrect in my assignment and the teacher caught it — is that AI's responsibility or mine?

Treat AI as a co-author; you are responsible for every word it writes.
Ability 3

Protect your data

Data & Privacy

You have the right to know where the data you enter into AI goes and how it is used. Not everything should be handed over to AI.

Self-questioning

Do I know where my conversations with AI are stored and what they are used for?

When using AI to write a CV, would you paste in all your personal data?
Ability 4

Questioning AI's answers

Critical Evaluation

AI often gets things wrong, but sounds very confident. Being able to tell when to trust it and when to verify is a core skill.

Self-questioning

When I see an AI answer, should I first ask “Is this correct?” before using it?

AI tells you that an event happened in 1850 — would you write it straight into your report, or check it first?
Ability 5

Let AI help you learn more deeply

AI as Learning Partner

It is not about asking AI to write for you, but about helping AI think more deeply and helping you learn more solidly. Treat AI as scaffolding, not a substitute.

Self-questioning

I use AI not to "understand" better, but to "skip learning"?

Learn a new concept — you can have AI discuss it with you until you genuinely understand it, rather than just giving you the conclusion and moving on.
Ability 6

Create with AI, and also dare to refuse

Creation & Agency

Can use AI to create things that were not previously possible — while also sticking to one's own judgement when the advice from AI is wrong.

Self-questioning

Am I willing not to accept AI advice when it is wrong, rather than taking it at face value?

AI gives you a writing suggestion, and you think it is wrong — would you accept it or stand your ground?

Six specific scenarios for learning with AI

Are six capabilities too abstract? Try applying them to the 6 things you do most often — the difference in the same activity with and without AI literacy.

Critical thinking

Literate use: Use AI to "test your own ideas" — let AI challenge you and identify weaknesses in your argument.

Lack of literacy: Letting AI think for you and accepting everything it gives.

Solve problems

Literate use: Use AI to explore multiple solutions, then judge for yourself which suits your context.

Lack of literacy: Giving the problem to AI, asking for one answer, and following it.

Reading comprehension

Literate use: Use AI to help you understand difficult passages — ask it to explain, give examples and probe further.

Lack of literacy: Asking AI to write the summary instead of reading it yourself.

Writing expression

Literate use: Keep your own voice; use AI for grammar and structural suggestions.

Lack of literacy: Submitting AI-written work as your own.

Find data / research

Literate use: Use AI to find a direction and get started — then verify the original sources yourself.

Lack of literacy: Using what AI gives you as if it were "research you found" — even fake citations and you would not know.

Creation / Design

Literate use: Treat AI as a co-creator — you decide the topic, style and trade-offs.

Lack of literacy: Directly taking AI-generated work as your own without disclosure or responsibility.

The key issue is not whether to use AI, but how to use it — with the same tool, the results produced by someone with digital literacy and someone without can differ greatly.

From novice to expert: three stages

AI literacy is not something you either have or do not have; it is a journey. It grows gradually through three stages.

Stage 1

Understanding

You know what AI is, what it can do, and what it cannot do. Like just getting a new tool, you start by getting to know it.

→
Stage 2

Apply

You can use AI to achieve your goals in study, work and everyday life. It is like using a tool naturally, with improved efficiency.

→
Stage 3

Create

You can use AI to create things no one has made before. It is like using tools to produce new works, new workflows and new possibilities.

No one starts at stage 3. For each capability area, you will be at different stages. For example, you may already be at stage 3 in "AI Awareness", but still at stage 1 in "Data Protection"—that is normal.

Three common myths

These are the phrases you hear most often about AI literacy — but they are all not quite right.

  • Myth 1: "If you can use AI, you have AI literacy"
    No. Being able to use a tool does not mean having literacy — being able to drive does not mean having driving literacy. AI literacy means “can use it + knows when to use it, when not to use it, and how to judge the result afterwards”. Being able to use AI is only the first stage.
  • Myth 2: "People who do not use AI will be eliminated"
    Not entirely. “People who do not use AI” are already quite rare. What is really being phased out are people who use AI but lack judgement — those who take everything AI gives them as true, pass off AI-written work as their own, and rely on AI irresponsibly.
  • Myth 3: "Using AI for assignments counts as plagiarism"
    No. Some contexts encourage it, some allow it conditionally, and some prohibit it — the key is “disclosure + responsibility”. Purdue University’s policy, for example, sets out three modes (prohibited / conditional / encouraged) and clearly regulates how students may use AI in different courses.
  • Myth 4: "AI literacy is something new, so you have to start from scratch"
    No. Its core is very similar to media literacy, information literacy and critical thinking — abilities you already have, simply applied to this new tool, AI. It is not starting from zero.

For Students: Three rules for using AI safely

From Purdue University’s 2025 official AI usage guidelines — simple enough to memorise.

1

Named

Name

State which AI model and which version you used. For example: “ChatGPT-4o”, “Claude Sonnet 4.5”, “Gemini 2.0”.

2

Record

Record

Keep a record of your conversations with AI, or screenshots. If something goes wrong, you can reproduce your thought process and prove that you did not copy directly.

3

Description

Explain

Explain how you verified the information given by AI, what errors you found (AI hallucinations) and corrected, and what further judgements and content you added yourself.

Reminder: these three rules are general principles in the context of “conditionally permitted” and “encouraged use”. If your Course explicitly bans AI, then it is banned — follow your school's / Instructor's specific rules. Judging the three modes of “banned”, “conditional” and “encouraged” is itself part of AI literacy.

Give yourself 30 seconds for a quick self-assessment

Answer each question in your head first. Yes, unsure, no — all are normal; see where you are now.

1

Can I explain clearly how AI differs from search engines and from “information on the internet”?

2

When I see an AI answer, I first think, "Could there be bias here?"

3

Do I know, before pasting data into AI, whether I should paste it and which kinds of data should not be pasted?

4

When I look at AI answers, I actively verify one or two things before believing them.

5

I use AI not just to save time, but to help me learn more thoroughly.

6

When I think AI suggestions are wrong, I say “no” and stick to my own judgement.

Out of the six questions, how many can you confidently answer “yes” to? This is not a score; it is a guide showing which capabilities you can start practising. Every class on Uedu is an opportunity to practise.

How does Uedu help you practise AI literacy?

It is not another ChatGPT — the way we designed it is to “use AI to train your AI literacy”.

Most AI tools on the market are designed to make you use them more — the more you use them, the better; the faster the answers, the better. Uedu is different. We want you, after using Uedu, to think more critically, be more willing to challenge AI, and know more clearly when you should stop and think for yourself. Here is how we do it.

Course dialogue

AI does not give the answer directly; it asks you back

When you ask Uedu's AI a question, it often does not give you the answer directly — instead it asks back, 'What do you think?' and 'What have you tried?' so that you work it out yourself. What this trains is your brain, not the AI's.

Ability 4: Question AI Ability 5: Learn more deeply
Data provenance

AI responses include sources

Facts, citations and data mentioned by AI on Uedu will, as far as possible, be attributed to their sources (which book, which publication, which database).You can click to verify them without having to believe that "what AI says is correct".

Capability 4: Questioning AI Capability 2: Responsibility
Adaptive interaction

AI speaks to you in the way that suits you best

After you enter Uedu, the platform will ask you to complete a few 'learning traits' mini quizzes (for example, your personality, and how you learn best).AI will then interact with you in a way that suits you—rather than giving everyone the same standard answer.

Ability 5: Personalised learning
Learning feedback

You can see whether your thinking is becoming deeper

After your conversation with Uedu's AI ends, the platform will analyse the level of your thinking today — whether you are only 'remembering answers', or have moved on to 'analysis' and 'creating on your own'.So you can see where you have improved, rather than being led by the AI.

Ability 5: Learn more deeply Ability 6: Autonomy
Usage guidelines

Clearly tells you how AI is used in each lesson

On every class on Uedu, the teacher clearly sets "how AI should be used in this class" — whether it is prohibited, allowed with conditions, or encouraged (the Purdue three-mode model).No need to guess; you will know exactly where the red line is.

Capability 2: Responsible use
Aida Learning Companion

Your AI companion across courses

AIDA is Uedu's learning companion—it remembers your learning history and knows where you get stuck, supporting you in discussions across courses. It is not a tool to do questions for you, but a companion that helps you think independently more with use.

Ability 5: Learn more deeply Ability 6: Autonomy

Key difference: other AI tools do everything they can toget you to use more; Uedu does everything it can tohelp you think better—even if one day you leave Uedu, that capability stays with you.

In the AI era, assessment methods must change

Special note for teachers, policymakers and parents — this is the next question arising from AI literacy.

Problem Traditional "summative assessment" loses its discriminative power in the AI era

For final exams, written reports, and course assignments — these ‘final deliverables’ — students can now use AI to write them all. Reports may look fluent, well structured, and well referenced — but you cannot tell which ones are genuinely student work and which are written by AI. Traditional assessment is losing its most important function: identifying who has really learned.

Solution Formative assessment fills this gap

Formative assessment looks not at the final 'output', but at the student's 'thinking process' — where they get stuck, whether they ask follow-up questions, whether they can challenge AI's answer, and whether they can correct it when AI gets it wrong. Process evidence does not lie.

Note: formative assessment supplements rather than replaces summative assessment — traditional final examinations still have value, and both coexist.

How Uedu works Knowledge trace = evidence data for formative assessment

Uedu's 'knowledge trail' automatically records every step of a Student's conversation with AI, every follow-up question and every turning point — allowing your class to naturally accumulate the evidence needed for formative assessment.

  • ▸ No extra tools needed — when students interact with AI, a trace is generated naturally
  • ▸ Bloom cognitive levels are marked automatically, making all six levels from "remembering answers" to "creating independently" visible
  • ▸ The teacher remains the assessment lead — the platform only accumulates data and visualises the trace; interpretation and feedback remain led by the teacher

Academic positioning: Uedu’s knowledge trail provides the process evidence needed for formative assessment, but is not the same as formative assessment itself. A complete formative assessment requires learning objectives, assessment criteria, and teaching adjustments by the Instructor.

If you are a parent or teacher

You do not need to be an AI expert — but there are some things you can do right away.

For parents

Discuss AI with your child; you do not need to be an expert

  • No need to ban it; the point is how it is used — banning it would force children to use it in secret, and you would lose the chance to discuss it with them.
  • Occasionally ask the child toshow how they use AI to do homework—as they explain it to you, they will notice the problem themselves.
  • Put AI literacy alongside the media literacy and cyber security you already discuss with students — the same kind of capability, not something new.
  • Ask with your child: “How do we know whether the answer given by this AI is correct?” Make 'verification' a daily habit.
For teachers

Set the AI use policy for the Course

  • Clearly tell students which mode you are using: Prohibited / Conditionally permitted / Encouraged (Purdue three-mode model).
  • When AI use is permitted, require Students to name it, record it, explain it — three rules, explained once at the start of the semester is enough.
  • No need to create a new Course — integrate AI literacy into your existing Course. For example, in a Chinese language class, discuss citations in AI writing; in an English class, discuss bias in AI translation.
  • Turn "How can I use AI without being accused of cheating?" into one of the common questions in class, and students will feel more able to ask you.

Further reading / references

All international frameworks, university cases and Taiwan initiatives integrated on this page are linked below as official links that can be opened directly.

This page contains no vague generalities — all legislation, policies, university cases and statistical data come from the public sources listed below. If you are doing research, writing a report or making policy recommendations, please refer to the original links.

Cite this page: This page’s content is compiled by Uedu from the international and local public sources above and may be freely cited; please attribute it as “Uedu AI Literacy Plain-language Guide, uedu.tw/ai-literacy”.

AI literacy, practised on Uedu

Uedu is a platform that lets you learn with AI without being replaced by AI. Every class, every conversation with AI, is an opportunity to practise AI literacy.

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