A Field Guide to
AI Literacy

How to stay oriented in a world mediated by AI

A stylized ink and watercolor illustration of a woman holding a smartphone. Swirling, abstract lines overlap her figure, suggesting a connection between the digital device and her thoughts or environment.

Why this guide exists

AI is now woven into how we:

read news | search for information | make decisions | create content | see one another

Most of us are being taught how to use AI.
Very few of us are being taught how to read it.

This guide is not about prompts or features.
It’s about keeping human judgment intact.

AI literacy is the ability to tell the difference between a tool, how it is used and the system rewarding that use.

If you can hold that distinction, you are far less likely to be misled, manipulated or numbed.

An ink drawing of a person sitting at a computer. Tangled, chaotic scribbles emerge from the monitor, representing the overwhelming or complex nature of AI-generated output.

1. Output literacy

Ask: What am I actually looking at?

Not all AI involvement is the same.

Get used to asking:

  • Is this AI-generated, AI-assisted, summarised or translated?

  • Is it original thinking or recombination?

  • Does it sound confident without being specific?

⚠️ Warning sign:
Vague authority, smooth certainty, no sources.

This is the AI-era version of “don’t believe everything you read”.

Two figures sit across from each other at a table, rendered in dark ink washes. They appear to be in deep conversation or contemplation, emphasizing the human element behind information sources.

2. Provenance literacy

Ask: Where did this come from and why does it exist?

Before reacting, ask:

  • Who prompted this?

  • Who published it?

  • Who benefits if it spreads?

  • What platform amplified it?

Most low-quality AI content is not created accidentally.
It is incentivised.

If you don’t know the context, you don’t yet know what you’re reading.

An abstract illustration showing several figures connected to a central, branching network. The lines mimic a neural network or a complex organizational system.

3. System literacy

Ask: How does this system behave by design?

AI systems:

  • predict likely patterns

  • optimise for objectives

  • do not understand meaning

  • do not care about truth unless designed to

They respond to pressure. If accuracy is rewarded → accuracy increases. If speed and engagement are rewarded → noise increases.

This helps avoid two mistakes:

  • anthropomorphising (“it thinks / wants”)

  • abdication (“the AI knows best”)

A group of abstract figures standing amongst various geometric shapes and fluid, ink-blot forms, representing the movement of information or skills between different contexts.

4. Incentive literacy

Ask: What behaviour is being rewarded here?

Many people blame “AI slop” on the technology.

More often, the cause is:

  • volume over care

  • speed over accuracy

  • engagement over integrity

A useful reframe:

If you don’t like the output, look for the incentive.

This keeps responsibility where it belongs.

An illustration of three figures interacting with a large, floating floral or organic shape. One figure points a device at it, suggesting the process of analyzing or making choices based on data.

5. Decision literacy

Ask: Is this shaping a decision, not just information?

AI increasingly:

  • ranks options

  • recommends actions

  • filters choices

  • nudges behaviour

Pause when:

  • “recommendation” becomes default

  • disagreement feels costly or impractical

  • oversight is symbolic rather than real

A key test:

Could I meaningfully say no here and would it matter?

Two figures sit at laptops. Their digital "speech bubbles" or thoughts are filled with messy, frantic scribbles, depicting the fast-paced, sometimes confusing nature of real-time digital interaction.

6. Red-line literacy

Ask: What should never be handed over?

Some boundaries matter regardless of efficiency:

  • lethal decisions

  • loss of contestability

  • control over shared reality

  • systems that cannot be interrupted

Literacy is not just personal.
It’s civic.

A man and a woman stand near each other, looking at their handheld devices. Soft, swirling lines bridge the space between them, suggesting a shared but quiet moment of digital reflection.

7. Reflective literacy (the quiet one)

Ask: How is this changing me?

Notice:

  • when speed replaces reflection

  • when convenience replaces judgment

  • when delegation replaces responsibility

If a system saves time but erodes care, that cost matters even if it’s invisible.

What this guide is not

This is not:

  • “AI is bad”

  • “AI is good”

  • “Stop using technology”

It is an invitation to: stay awake inside powerful systems.

One sentence to carry with you

If you remember nothing else, remember this:

AI literacy is not about mastering tools, it’s about preserving judgment.

A final note

Every powerful medium in history went through a chaotic phase.
Some societies learned to see clearly.
Others chose panic, control, or cynicism.

The difference was never intelligence.
It was attention.

This guide exists to help keep that attention alive.