A0: Applied Exercise


2. EXAMINE

Look before asking AI.

Before showing anything to the LLM, examine each collection yourself and form your own initial interpretation.

The aim is not to become an expert in the artefact. Instead, notice what appears clear, what remains ambiguous, and what may require several views, scales, or additional knowledge to understand. These observations will help you formulate questions that test something meaningful.

Look For

Ask Yourself

Before moving on:


The following guidelines will help you prepare this part of the assignment:

🗂️ Raw Artefacts
Check what evidence, files, outputs, and supporting material you need to produce and retain. [link]

3. IDENTIFY

Turn observations into testable questions.

Your questions are the core of the investigation. Use your observations from EXAMINE to develop questions that probe what the model can see, relate, interpret, reason about, and recognise that it does not know.

Some questions should be repeated systematically across several collections so that you can compare the model’s behaviour. Others should respond to something distinctive or difficult in a particular artefact.

Types of Questions

A. Systematic Questions

Develop approximately 5 questions that can be applied across several of your collections.

Across the set, include at least:

Try to move across different levels of visual understanding:

Seeing → Relating → Interpreting → Reasoning → Knowing the Limits

B. Collection-Specific Questions

For each collection, develop 1–2 additional questions that respond to something distinctive about that particular case.

Useful targets might include:

These questions do not need to work across every collection. Their purpose is to probe the particular challenges presented by that artefact.

General Tips

Make Questions Assessable

Where possible, ask questions for which you have a reasonable way of checking the answer.

A question may also be deliberately unanswerable. In that case, you should understand why the available evidence is insufficient and what additional information would be needed.

Go Beyond Simple Description

Avoid relying only on questions such as “What is shown here?” Instead, formulate questions that reveal something about the model’s visual understanding.

For example:

The aim is not simply to catch the AI making mistakes. It is to identify where its visual understanding works, where it breaks down, and whether it recognises the limits of the available evidence.


The following guidelines will help you prepare this part of the assignment:

🗂️ Raw Artefacts
Check what evidence, files, outputs, and supporting material you need to produce and retain. [link]